526 to 550 of 959 TensorFlow Jobs in England

policy optimisation/RLHF. Solid understanding of LLM architectures, vector databases and other machine‐learning primitives. Demonstrated hands‐on experience building deep‐learning and transformer models in PyTorch or TensorFlow or other. Experience operating ML infrastructure (model deployment, evaluation, optimisation, data pipelines). Bonus Ex-Startup founder or early technical‐lead experience. Responsibilities Design and deploy advanced machine learning More ❯

postdoctoral experience in machine learning Experience with patents or publications at top-tier peer-reviewed conferences or journals Experience with popular deep learning frameworks such as MxNet, PyTorch, or TensorFlow Experience in building large-scale machine learning systems Proficiency in state-of-the-art Natural Language Processing (NLP) and Computer Vision (CV) deep learning models Our inclusive culture empowers More ❯

postdoctoral experience in machine learning Experience with patents or publications at top-tier peer-reviewed conferences or journals Experience with popular deep learning frameworks such as MxNet, PyTorch, or TensorFlow Experience in building large-scale machine learning systems Proficiency in state-of-the-art Natural Language Processing (NLP) and Computer Vision (CV) deep learning models Our inclusive culture empowers More ❯

heavy or AI environments. Proficiency in Python, R, C/C++, or Java, and awareness of security risks associated with these languages. Familiarity with key ML frameworks such as TensorFlow, PyTorch, JAX, and scikit-learn. Strong grasp of DevOps/CI/CD workflows and secure SDLC methodologies. Experience securing cloud-native environments, including containerized services (e.g., Kubernetes) and More ❯

Machine 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 More ❯

/or other methods relevant to recommendation systems. You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. Experience with TensorFlow, PyTorch, Scikit-learn, etc. is a strong plus. You have some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our More ❯

s degree (or equivalent) in Computer Science, Machine Learning, or a related field. 3+ years of experience deploying ML models in production. Proficient in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience working with cloud platforms and containerised deployments (e.g., Docker, Kubernetes). Solid grounding in computer vision and experience with large-scale data. Bonus: exposure to reinforcement More ❯

s degree (or equivalent) in Computer Science, Machine Learning, or a related field. 3+ years of experience deploying ML models in production. Proficient in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience working with cloud platforms and containerised deployments (e.g., Docker, Kubernetes). Solid grounding in computer vision and experience with large-scale data. Bonus: exposure to reinforcement More ❯

s degree (or equivalent) in Computer Science, Machine Learning, or a related field. 3+ years of experience deploying ML models in production. Proficient in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience working with cloud platforms and containerised deployments (e.g., Docker, Kubernetes). Solid grounding in computer vision and experience with large-scale data. Bonus: exposure to reinforcement More ❯

teams (ideally 5+ people) • Demonstrated success in writing and winning technical research proposals (especially within Defence or public sector R&D environments) • Advanced skills in Python and ML frameworks (TensorFlow, PyTorch) • Deep experience in one or more of the following: o Knowledge graphs & graph ML (e.g. PyTorch-Geometric, Neo4j) o NLP and information extraction (transformer-based models desirable) o More ❯

Statistics Expertise in LLMs and Algorithms Experience with data preprocessing and feature extraction Proficiency in programming languages like Python or R (4+ years) Knowledge of machine learning frameworks like TensorFlow or PyTorch Excellent problem-solving and analytical skills What you don't know, we can teach - as long as you have the desire to learn. We are a group More ❯

or related field 3+ years' experience in applied R&D or research consultancy (public sector/defence background advantageous) Strong Python skills and experience with ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) Expertise in one or more of the following areas: Multi-modal data fusion or time series analysis Uncertainty quantification or probabilistic modelling Active learning, explainable AI, or More ❯

production systems. Additional skills include leadership in agile environments, strong communication, mentorship abilities, expertise in RAG architectures, Transformer-based LLMs, model optimization, programming in Python with frameworks like PyTorch, TensorFlow, Hugging Face, LangChain, experience with containerization tools, cloud deployment (preferably Azure), and familiarity with databases and data platforms. OUR VALUES: CURIOSITY, OPTIMISM, AMBITION, EMPATHY We foster a team culture More ❯

regulatory and internal policy requirements. What you'll have: Be highly numeratewith astatistical background, with strong expertise in Python is essential. Exposure to ML Frameworks like Scikit Learn/TensorFlow/PyTorch would be beneficial. Have a deep understanding of data analytics technologies and an eagerness to explore new tools and techniques. Strong SQL skills are a must, with More ❯

or Neocloud space. Practical knowledge of AI/ML technologies and their applications, including understanding language models (LLMs), and experience with training and fine-tuning LLMs using frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. Good understanding of programming/scripting: (e.g., Python, Go) for customizing solutions, creating scripts, or automating tasks. Experience with AI relevant infrastructure, including Networking More ❯

communication skills. Technical curiosity and adventure around applying machine learning in healthcare, looking to push the boundaries of science! Desired experience: Ph.D. in a relevant area. Understanding of PyTorch, TensorFlow, and platforms like TFX, Neptune.ai, MLflow, Weights & biases, etc. Previous experience working in computer vision or machine learning. Knowledge of digital pathology. Awareness and prior experience in Life Science More ❯

open-source models. Solid Python programming skills with a focus on ML, NLP, deep learning, generative AI, and image/OCR processing. Hands-on experience with frameworks such as TensorFlow, PyTorch, Hugging Face, Spacy, OpenCV, Regex , or similar. Strong awareness of secure coding practices, production deployment, and API resilience. Nice to Have: Experience using PostgreSQL for data storage and More ❯

points to understand how AI systems could be abused and misused. Skills: Demonstrated ability in artificial intelligence. Demonstrable experience with LLMs, deep understanding of AI/ML frameworks (PyTorch, TensorFlow, etc.) Expertise in Python, knowledge of SQL a plus. Effective communication, interpersonal skills, and ability to work with partners across the business Expert in synthesizing and clearly communicating complex More ❯

points to understand how AI systems could be abused and misused. Skills: Demonstrated ability in artificial intelligence. Demonstrable experience with LLMs, deep understanding of AI/ML frameworks (PyTorch, TensorFlow, etc.) Expertise in Python, knowledge of SQL a plus. Effective communication, interpersonal skills, and ability to work with partners across the business Expert in synthesizing and clearly communicating complex More ❯

learning techniques, including designing new architectures, hands-on experimentation, analysis, and visualisation. Strong knowledge of linear algebra, calculus and statistics. Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas. A passion for applying ML research to real world problems. Depending on your experience: project supervision, leadership, or management. Nice More ❯

Lead applied research in AI/ML, with a focus on sequential data and complex decision-making Develop novel algorithms and prototypes in Python using frameworks such as PyTorch, TensorFlow, and scikit-learn Mentor junior scientists and contribute to team-wide technical strategy Deliver technical reports, presentations, and research proposals to internal and external stakeholders Collaborate with top UK More ❯

years experience in Embedded C/C++, Python, Linux, RTOS, microcontrollers, network protocols, Model-Based Design Expertise in Machine Learning & AI, Deep Learning, Computer Vision, Data Science, Programming (Python, TensorFlow, PyTorch, MATLAB, Julia), Computational Modeling (FEA, HPC) Additional qualifications include MEng in Electronics and Computer Science, BSc in Electronic Engineering, RF Design, PCB Design, 5G, MIMO, Satellite communications, High More ❯

deep learning, reinforcement learning, non-convex optimisation, approximate inference, NLP, or Bayesian methods Strong programming skills, ideally in Python, with experience using tools like NumPy, Pandas, JAX, PyTorch or TensorFlow A strong publication record in top-tier venues (e.g., NeurIPS, ICML, ICLR) or competitive performance in ML challenges such as Kaggle or similar platforms The ability to independently formulate More ❯

deep learning, reinforcement learning, non-convex optimisation, approximate inference, NLP, or Bayesian methods Strong programming skills, ideally in Python, with experience using tools like NumPy, Pandas, JAX, PyTorch or TensorFlow A strong publication record in top-tier venues (e.g., NeurIPS, ICML, ICLR) or competitive performance in ML challenges such as Kaggle or similar platforms The ability to independently formulate More ❯

regulated industry would be highly preferable. You'll be highly numerate with a statistical background, with strong expertise in Python essential. Exposure to ML Frameworks like Scikit Learn/TensorFlow/PyTorch would be beneficial. You'll have a deep understanding of data analytics technologies and an eagerness to explore new tools and techniques. Strong SQL skills are a More ❯