21 of 21 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 ❯

as Python, R, C, C++, or Java, and their associated security considerations. * Previous experience with ML, LLM, deep learning and data manipulation techniques, libraries, and frameworks such as TensorFlow, PyTorch, Jax, and scikit-learn is desirable. * Experience in implementing secure coding practices, DevOps, CI/CD pipelines and familiarity with secure software development life cycle (SDLC) methodologies. * Strong understanding of More ❯

learning, deep learning and AI, particularly in LLM and RAG technologies, with knowledge of LLM Agents, explainable AI and/or graph ML as a plus. Proficiency in Python, PyTorch and/or Tensorflow, and popular data science libraries, as well as development skills with Docker, Linux, GitHub/Gitlab, GPUs, and cloud services. Exposure to knowledge graphs and graph More ❯

enough" solutions under time pressure—while continuously refining and improving the systems over time. Essential • 2:1 degree in computer science or relevant engineering discipline• Python/C C, PyTorch, Numpy, Pandas, Tensorflow, Computer Vision, OpenCV, JavaScript, HTML• Solution orientated with an ability to think outside the box Desirable experience • Hands-on experience designing and implementing control mechanisms for production More ❯

over time. Essential 2:1 degree in computer science or relevant engineering discipline 5+ year Software Engineering lead experience, including system architect, mentoring, and code reviews Python/C++, PyTorch, Numpy, Pandas, Tensorflow, Computer Vision, OpenCV, JavaScript, HTML Hands-on experience designing and implementing control mechanisms for production line automation Solution orientated with an ability to think outside the box More ❯

or custom tools). Strong understanding of computer architecture fundamentals : memory systems, interconnects, queuing theory, Amdahl's and Gustafson's laws. Familiarity with machine learning workloads and frameworks like PyTorch, TensorFlow, or JAX. Ability to interpret RTL/schematics and discuss micro-architectural trade-offs with hardware engineers. Excellent data visualization and communication skills — capable of distilling millions of simulation More ❯

or custom tools). Strong understanding of computer architecture fundamentals : memory systems, interconnects, queuing theory, Amdahl's and Gustafson's laws. Familiarity with machine learning workloads and frameworks like PyTorch, TensorFlow, or JAX. Ability to interpret RTL/schematics and discuss micro-architectural trade-offs with hardware engineers. Excellent data visualization and communication skills — capable of distilling millions of simulation More ❯

Your Profile Essential Experience & Skills Proven experience as a Security Architect with direct focus on AI/ML security. Strong knowledge of AI/ML technologies, frameworks (e.g. TensorFlow, PyTorch), and threat landscapes. Background in development or data science is highly advantageous. Expertise in secure development practices and cloud-native architectures. Hands-on experience with threat modelling, adversarial testing, 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 ❯

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 ❯

Scientific discipline. Hands-on experience integrating vision systems and automated inspection technologies (ideally Cognex, Keyence), programming in C/C#. Familiarity with code readers, vision libraries/frameworks (OpenCV, PyTorch), and ideally, Siemens S7 or Allen Bradley PLCs. Strong understanding of working within regulated environments and a detail-driven approach to documentation. If this sounds like you, we’d love 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 ❯

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 ❯