14 of 14 Permanent PyTorch Jobs in the Thames Valley

and deliver on project objectives. Masters degree in a STEM field (maths, science, engineering etc.) or equivalent Strong programming skills in Python (e.g., NumPy, Pandas, scikit-learn, TensorFlow/PyTorch). Demonstrable experience in creating and developing Python libraries. Demonstrable experience designing, implementing and training machine learning models from scratch. Strong foundations in applied mathematics and physics, particularly in statistical More ❯

landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate effectively with stakeholders and More ❯

CI/CD pipelines, unit testing, use of version control systems. Dashboarding and Data Visualization Skills (e.g. Streamlit, Dash, Retool, Plotly) Exposure to ML libraries/systems (Scikit-learn, PyTorch, MLflow) Clinical trials Good Clinical Practice (GCP) Medical device development About Us All our benefits information can be found in the downloadable Benefits document under 'Information' on the right hand More ❯

Good programming ability in Python with familiarity with Linux systems including scripting and system configuration. Experience using AWS, e.g, Cognito, S3, EC2, Lamdas, etc. Experience with ML toolkits, e.g. PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines and tools. Be able to design and implement MLOps solutions covering many different technologies. Desirable More ❯

even better Ideally experience with de novo transcriptome assembly, Machine Learning and/or Artificial Intelligence, or experience mining genomic data Experience with Python and libraries such as SciPy, Pytorch, NumPy, Pandas etc. What Next? If you'd like to hear more about this exciting Bioinformatician position, just give me a call or drop me an email, I'd love More ❯

such as MLflow Proficient in Python and experienced with Linux systems Familiar with AWS services such as Cognito, S3, EC2 and Lambda Experience working with ML frameworks such as PyTorch or Lightning Capable of designing and delivering ML Ops solutions across various platforms Desirable Skills Background in DevOps with experience in CI systems such as Jenkins Familiarity with infrastructure as More ❯

such as MLflow Proficient in Python and experienced with Linux systems Familiar with AWS services such as Cognito, S3, EC2 and Lambda Experience working with ML frameworks such as PyTorch or Lightning Capable of designing and delivering ML Ops solutions across various platforms Desirable Skills Background in DevOps with experience in CI systems such as Jenkins Familiarity with infrastructure as More ❯

Good programming ability in Python with familiarity with Linux systems including scripting and system configuration. Experience using AWS, e.g, Cognito, S3, EC2, Lamdas, etc. Experience with ML toolkits, e.g. PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines and tools. Be able to design and implement MLOps solutions covering many different technologies. Desirable More ❯

Good programming ability in Python with familiarity with Linux systems including scripting and system configuration. Experience using AWS, e.g, Cognito, S3, EC2, Lamdas, etc. Experience with ML toolkits, e.g. PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines and tools. Be able to design and implement MLOps solutions covering many different technologies. Desirable More ❯

object shape, appearance and movement. • Excellent team working abilities with positive, can-do attitude. • Examples of working with large spatio-temporal datasets. • Experience with Python and ML toolkits, e.g. PyTorch, Lightning, etc. Desirable Skills • Relevant conference, journal, or other peer-reviewed output. • Experience delivering the full ML development lifecycle, taking systems from research prototypes through to development and production within More ❯

electronics, including PCB design + Experience coding embedded microcontrollers/IDEs/SBCs in Python/C + Experience programming firmware in C Bonus: + Experience with AI accelerators, PyTorch, Tensorflow, OpenCV, Linux, CNNs + Experience with gcode programming What you ll get: + £30-50k + Share options + Clear progression path to a senior level in a More ❯

electronics, including PCB design + Experience coding embedded microcontrollers/IDEs/SBCs in Python/C + Experience programming firmware in C Bonus: + Experience with AI accelerators, PyTorch, Tensorflow, OpenCV, Linux, CNNs + Experience with gcode programming What you’ll get: + £30-50k + Share options + Clear progression path to a senior level in a More ❯

using Kubeflow and similar tools (e.g., MLflow) Develop scripts and tooling in Python; manage Linux system configurations Leverage AWS infrastructure (Cognito, S3, EC2, Lambda, etc.) Integrate ML toolkits (e.g., PyTorch, Lightning) into ML Ops workflows Design and deploy robust ML Ops solutions across various technologies Contribute to the technical strategy and suggest improvements to the ML Ops stack Required Skills … Kubeflow or similar ML Ops platforms Proficiency in Python programming, Linux systems, and scripting Experience with AWS services (Cognito, S3, EC2, Lambda, etc.) Familiarity with ML frameworks such as PyTorch or Lightning, and understanding their role in ML Ops pipelines Ability to design and implement comprehensive ML Ops solutions Desirable Skills: Background in DevOps with CI/CD experience (e.g. More ❯

using Kubeflow and similar tools (e.g., MLflow) Develop scripts and tooling in Python; manage Linux system configurations Leverage AWS infrastructure (Cognito, S3, EC2, Lambda, etc.) Integrate ML toolkits (e.g., PyTorch, Lightning) into ML Ops workflows Design and deploy robust ML Ops solutions across various technologies Contribute to the technical strategy and suggest improvements to the ML Ops stack Required Skills … Kubeflow or similar ML Ops platforms Proficiency in Python programming, Linux systems, and scripting Experience with AWS services (Cognito, S3, EC2, Lambda, etc.) Familiarity with ML frameworks such as PyTorch or Lightning, and understanding their role in ML Ops pipelines Ability to design and implement comprehensive ML Ops solutions Desirable Skills: Background in DevOps with CI/CD experience (e.g. More ❯