76 to 100 of 196 PyTorch Jobs in the UK excluding London

delivering to defence or government customers Deep understanding of knowledge graphs, text mining, NLP, and/or graph neural networks Strong Python development skills and proficiency with ML frameworks (PyTorch, TensorFlow) Proven experience applying ML to real-world problems and securing R&D funding (e.g. Dstl, EPSRC) Excellent communication skills with ability to engage technical and non-technical stakeholders Desirable … Skills Experience with graph ML libraries (e.g. PyTorch-Geometric, PyKeen), Neo4j, or Cypher Familiarity with knowledge representation, ontology design, or neuro-symbolic AI Prior delivery of LLM-based research projects or integration into operational systems The Package Up to £70,000 base salary 10% company bonus Enhanced pension scheme - up to 10% matched 25 days annual leave + flexible options More ❯

Python and Pandas. Key Responsibilities: * Working experience LLMs under Bedrock and Sagemaker both Amazon * Python with APIs to ChatGPT * Strong coding skills using libraries like pandas, NumPy, scikit-learn, PyTorch, and Hugging Face Transformers. Key Skills & Experience: AWS Data Science Environment: Hands-on experience with Sage Maker, Lambda, Step Functions, S3, Athena. Model deployment and pipeline orchestration in AWS. OCR … Proficiency with Amazon Tex-tract, Tesseract, and LLM-based OCR. Building document parsing pipelines, validations, and rule Python Proficiency: Strong coding skills using libraries like pandas, NumPy, scikit-learn, PyTorch, and Hugging Face Transformers. Writing clean, modular, and testable code. Traditional Machine Learning Models: Experience with regression (linear, ridge), classification (logistic regression, decision trees, random forests), clustering (k-means, DBSCAN More ❯

Python and Pandas. Key Responsibilities: * Working experience LLMs under Bedrock and Sagemaker both Amazon * Python with APIs to ChatGPT * Strong coding skills using libraries like pandas, NumPy, scikit-learn, PyTorch, and Hugging Face Transformers. Key Skills & Experience: AWS Data Science Environment: Hands-on experience with Sage Maker, Lambda, Step Functions, S3, Athena. Model deployment and pipeline orchestration in AWS. OCR … Proficiency with Amazon Tex-tract, Tesseract, and LLM-based OCR. Building document parsing pipelines, validations, and rule Python Proficiency: Strong coding skills using libraries like pandas, NumPy, scikit-learn, PyTorch, and Hugging Face Transformers. Writing clean, modular, and testable code. Traditional Machine Learning Models: Experience with regression (linear, ridge), classification (logistic regression, decision trees, random forests), clustering (k-means, DBSCAN More ❯

a relevant discipline Strong background in AI/ML and/or statistical signal processing applied to time-series or sequential data Proficiency in Python with experience using TensorFlow, PyTorch, scikit-learn, or similar ML frameworks Experience leading R&D projects and mentoring early-career researchers Ability to work independently or within collaborative team Reference: AMC/DRI/RS2 More ❯

solutions Publish research and engage with academic partners What You'll Bring: PhD or equivalent experience in AI/ML or signal processing Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn) Strong experience with time-series data, decision-making models, or sensor fusion A track record of innovation and delivering complex R&D Preferred Expertise: RF comms, radar More ❯

solutions Publish research and engage with academic partners What You'll Bring: PhD or equivalent experience in AI/ML or signal processing Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn) Strong experience with time-series data, decision-making models, or sensor fusion A track record of innovation and delivering complex R&D Preferred Expertise: RF comms, radar More ❯

solutions Publish research and engage with academic partners What You'll Bring: PhD or equivalent experience in AI/ML or signal processing Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn) Strong experience with time-series data, decision-making models, or sensor fusion A track record of innovation and delivering complex R&D Preferred Expertise: RF comms, radar More ❯

field; or equivalent research experience in industry or academia. Open to applicants across a range of seniority levels with relevant expertise. Core Skills: Proficiency with ML frameworks such as PyTorch, TensorFlow, or JAX. Experience in efficient ML techniques (e.g., quantization, pruning, sparsity, distillation). Practical knowledge of AI deployment on embedded/mobile platforms, including CPUs, GPUs, and NPUs. Hands More ❯

PhD experience applying AI/ML and/or statistical signal processing to sequential or time-series data Strong Python development skills with experience in ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) Ability to lead and deliver research programmes independently and in teams Desirable Experience (one or more of the following): RF communications or electronic warfare (EW) Radar or acoustic More ❯

LLMs in real-world or defence-related contexts Graph-structured data and graph algorithms Designing and utilising relational or graph databases Desirable Experience: Experience with graph ML libraries (e.g., PyTorch-Geometric, PyKeen) or KG tools (e.g., Neo4j) Familiarity with query languages such as SQL or Cypher Understanding of semantic reasoning, ontology design, or knowledge representation Why Apply? Work on high More ❯

models on GPUs , including transformer and VAE architectures. Experience with spatial and single-cell data modelling and their application to biological questions. Strong programming skills in Python, TensorFlow/PyTorch, and familiarity with AWS cloud infrastructure. Demonstrable track record of applying AI to solve complex biological challenges and translate outputs into biologically meaningful hypotheses. C ompetencies and Behaviours A team More ❯

graph algorithm design and use of relational/graph databases. Knowledge representation and semantic reasoning, including ontology development. Additional Desirable Experience: Hands-on experience with graph ML toolkits (e.g., PyTorch-Geometric, PyKeen) and knowledge graph platforms (e.g., Neo4j). Proficiency in query languages such as SQL or Cypher. Understanding of semantic technologies or LLM-based reasoning systems. Reference: AMC/ More ❯

graph algorithm design and use of relational/graph databases. Knowledge representation and semantic reasoning, including ontology development. Additional Desirable Experience: Hands-on experience with graph ML toolkits (e.g., PyTorch-Geometric, PyKeen) and knowledge graph platforms (e.g., Neo4j). Proficiency in query languages such as SQL or Cypher. Understanding of semantic technologies or LLM-based reasoning systems. Reference: AMC/ More ❯

graph algorithm design and use of relational/graph databases. Knowledge representation and semantic reasoning, including ontology development. Additional Desirable Experience: Hands-on experience with graph ML toolkits (e.g., PyTorch-Geometric, PyKeen) and knowledge graph platforms (e.g., Neo4j). Proficiency in query languages such as SQL or Cypher. Understanding of semantic technologies or LLM-based reasoning systems. Reference: AMC/ More ❯

Master's, PhD or equivalent experience in a technical field (e.g., Maths, Statistics, Computer Science, Physics, Chemistry, Biomedical Engineering). Python programming in a modern deep learning framework, e.g. PyTorch or JAX. Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling. Capable of designing, executing and reporting from ML experiments. Mathematics skills to support the above: calculus, probability theory More ❯

compliance, and security best practices . Prior experience with cloud-based lakehouse implementation . Experience with machine learning (ML) and AI frameworks, particularly within Databricks (e.g., MLflow, AutoML, or PyTorch/TensorFlow). Understanding of AI-driven analytics and predictive modeling to enhance BI solutions. Think you can make a difference? WE ARE your future. More details: Full time, permanent More ❯

ideally in noisy or low-data regimes Familiarity with probabilistic modelling and the underlying mathematical/statistical principles. Demonstrable experience with machine learning frameworks such as JAX, TensorFlow, or PyTorch, particularly for model development and optimization tasks. Proficiency in data wrangling, feature engineering, and model evaluation techniques. Curiosity, autonomy, and ability to work in a fast-paced, interdisciplinary startup environment More ❯

implementing AI solutions in complex enterprise environments Experience in all architecture domains:- application, data, cloud ( AWS) and technology with expertise with AI, Gen Ai and ML frameworks (e.g., TensorFlow, PyTorch, AWS Sagemaker, AWS Bedrock, OpenAI). Strong experience of AI services and AI lifecycle and model training Proficiency in backend and frontend technologies such as .NET Core, Node.js, and React More ❯

Experience in applying machine learning techniques to life science applications and datasets. Strong data processing and analysis skills. Confident coding in python and using common libraries (numpy, pandas, sklearn, pytorch/tensorflow, etc.) Experience building robust ML and data science pipelines. Experience with git version control, with familiarity of different branching and merging strategies. Compensation & Benefits At Insmed, we're More ❯

compiled languages like Go or Rust. At least a B.Sc. equivalent in a Science, Technology, Engineering or Mathematical discipline. Knowledge of AI/ML frameworks such as TensorFlow and PyTorch, as well as the data preparation, handling, and lineage control, as well as model deployment, in particular in a distributed environment. Your personal skills include: Strong team spirit but capable More ❯

computing, monitoring and operational data analytics, mathematical optimisation, containers, compilers, or application optimisation. You should have: A good working knowledge of AI/ML frameworks, at least TensorFlow and PyTorch, as well as the data preparation, handling, and lineage control, as well as model deployment, in particular in a distributed environment. At least a B.Sc. equivalent in a Science, Technology More ❯

partners Present findings to technical and non-technical stakeholders What You'll Need: PhD with 4+ years post-PhD experience Strong Python programming skills Experience with ML frameworks (e.g. PyTorch, TensorFlow) Proven track record in team leadership and proposal writing Expertise in NLP, LLMs, knowledge graphs, or graph ML Desirable Skills: Tools: PyTorch-Geometric, PyKeen, Neo4j Languages: SQL, Cypher Familiarity More ❯

leadership of R&D teams (minimum of 5 developers) Strong background in NLP, text mining, knowledge graphs, or graph ML Proficient in Python, with experience using frameworks such as PyTorch or TensorFlow Demonstrated ability to secure and deliver R&D funding Desirable Skills: Experience with graph ML libraries (e.g. PyTorch-Geometric, PyKeen), knowledge graph tools (e.g. Neo4j) Familiarity with query More ❯

leadership of R&D teams (minimum of 5 developers) Strong background in NLP, text mining, knowledge graphs, or graph ML Proficient in Python, with experience using frameworks such as PyTorch or TensorFlow Demonstrated ability to secure and deliver R&D funding Desirable Skills: Experience with graph ML libraries (e.g. PyTorch-Geometric, PyKeen), knowledge graph tools (e.g. Neo4j) Familiarity with query More ❯

leadership of R&D teams (minimum of 5 developers) Strong background in NLP, text mining, knowledge graphs, or graph ML Proficient in Python, with experience using frameworks such as PyTorch or TensorFlow Demonstrated ability to secure and deliver R&D funding Desirable Skills: Experience with graph ML libraries (e.g. PyTorch-Geometric, PyKeen), knowledge graph tools (e.g. Neo4j) Familiarity with query More ❯