26 to 50 of 81 PyTorch Jobs in the South East

knowledge of modern machine learning, statistics, and computational modelling Experience leading teams and performing technical assurance across large R&D projects Strong Python skills and familiarity with frameworks like PyTorch, TensorFlow, scikit-learn Expertise in one or more of: computer vision, reinforcement learning, NLP/LLMs, knowledge graphs, RF/EO sensor data, autonomy Please note: Due to the nature 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 ❯

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 ❯

learning or autonomous agents NLP, LLMs, or knowledge graph technologies AI for RF/EW, radar, sonar, or acoustic domains Strong Python skills and familiarity with ML toolkits (e.g. PyTorch, TensorFlow, Scikit-learn) Experience with proposal writing (e.g. Dstl, NS, EPSRC) Prior involvement in engineering assurance, technical review, or QA of R&D outputs Nice-to-Haves: Publications in top More ❯

equivalent experience) in a relevant AI/ML discipline 4+ years of postdoctoral or industry experience leading research teams Strong programming skills in Python and experience with frameworks like PyTorch or TensorFlow Deep expertise in one or more of: NLP, LLMs, graph machine learning, semantic AI, or knowledge graphs Proven track record of winning and delivering R&D projects Please More ❯

systems in environments with resource constraints or within safety-critical industries. Advanced proficiency in Python and C++ programming languages. Hands-on experience with leading machine learning frameworks like TensorFlow, PyTorch, or similar tools. Strong background in embedded systems and experience integrating computer vision algorithms into hardware platforms. In-depth knowledge of various sensors, including cameras, LIDAR, and RADAR, and their More ❯

a proven commercial experience delivering AI/ML projects end-to-end in production environments Strong Python skills with hands-on use of ML libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Solid understanding of machine learning fundamentals and performance evaluation techniques Experience working in cloud platforms (AWS, GCP, or Azure) with MLOps tools (e.g. MLflow, SageMaker, Vertex AI 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 ❯

learning-focused environment that values innovation, openness, and personal growth Skills & Experience: PhD in Computer Science, Electrical Engineering, or equivalent industry research experience Solid background in machine learning frameworks (PyTorch, TensorFlow, or JAX) Experience in efficient ML techniques: quantization, pruning, distillation Familiarity with deployment on mobile and embedded devices (e.G. Smartphones, mobile CPU/GPU/NPU) Strong skills in More ❯

learning-focused environment that values innovation, openness, and personal growth Skills & Experience: PhD in Computer Science, Electrical Engineering, or equivalent industry research experience Solid background in machine learning frameworks (PyTorch, TensorFlow, or JAX) Experience in efficient ML techniques: quantization, pruning, distillation Familiarity with deployment on mobile and embedded devices (e.G. Smartphones, mobile CPU/GPU/NPU) Strong skills in More ❯

learning-focused environment that values innovation, openness, and personal growth Skills & Experience: PhD in Computer Science, Electrical Engineering, or equivalent industry research experience Solid background in machine learning frameworks (PyTorch, TensorFlow, or JAX) Experience in efficient ML techniques: quantization, pruning, distillation Familiarity with deployment on mobile and embedded devices (e.G. Smartphones, mobile CPU/GPU/NPU) Strong skills in More ❯

and stakeholder collaboration skills Excellent management capability Strong commercial ability 7+ years in data/AI roles, with 5+ years in leadership Ability with Python, SQL, ML frameworks (TensorFlow, PyTorch) Deep knowledge of LLMs, forecasting, and modern data stacks Background in data insights, media or trend forecasting is a bonus Why apply? You'll join a high-impact business undergoing More ❯

minimum of 4 years' postdoctoral or commercial experience Expertise in NLP, LLMs, graph machine learning, or semantic reasoning Proficient in Python and familiar with frameworks such as TensorFlow or PyTorch Experience leading technical teams and securing external R&D funding Benefits 10% annual bonus Hybrid working model with flexibility (minimum 2 days onsite) Access to high-impact national programmes and More ❯

AWS (serverless) Background in OCR, NLP, and scalable automation architectures Solid understanding of Agile, DevOps, and XP practices Comfortable with stakeholder engagement and cross-functional collaboration AWS Textract, MLOps, PyTorch Kubernetes, Docker, OpenShift Role Fully remote £550 Per Day outside IR35 6 month contract (2 year project) Starting end of July Please get in touch for further information. Morgan Hunt More ❯

equivalent industry experience) in a relevant discipline. Extensive post-doctoral experience applying AI/ML to time-series or sequential data. Strong Python skills and familiarity with frameworks like PyTorch, TensorFlow, or scikit-learn. Proven ability to communicate complex results to technical and non-technical audiences. Desirable: experience in areas such as radar, EW, RF, sensor fusion, autonomy, or signal More ❯

scale The Tech Stack AI/ML : Multi-agent frameworks, fine-tuning, reinforcement learning, advanced RAG Platform : AWS serverless, event-driven architecture, microservices Languages : Python, with modern ML libraries (PyTorch, TensorFlow) What They're Looking For 5+ years developing AI/ML systems beyond basic integration Deep understanding of agent architectures and distributed AI systems Computer science fundamentals - algorithms, system 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 ❯

ll Bring: Hands-on experience building and deploying NLP/LLM solutions, including summarisation, entity extraction, and topic modelling Strong Python skills with libraries such as HuggingFace Transformers, spaCy, PyTorch/TensorFlow, or RAG frameworks Experience with knowledge graphs, GNNs, or graph-enabled retrieval Proven ability to optimise ML systems for air-gapped, low-compute, or edge environments Understanding of More ❯

AI/ML or statistical signal processing 4+ years post-PhD experience applying ML to sequential or sensor data Strong Python development skills and fluency with ML libraries (TensorFlow, PyTorch, scikit-learn) Expertise in time-series analysis, signal processing, or intelligent decision-making Experience leading project teams and delivering R&D for defence, aerospace, or intelligence domains Desirable Skills Experience More ❯

or equivalent experience in Artificial Intelligence, Machine Learning, or statistical signal processing. Proficient in Python , with strong development skills and hands-on experience using machine learning libraries such as PyTorch and scikit-learn. Domain expertise in areas including radar, sonar, radio frequency (RF) systems, autonomous systems, or distributed sensing technologies. If you're ready to take on meaningful challenges, work More ❯

detection , phishing , or abuse detection Proven ability to design and deploy full-stack AI pipelines in production Strong experience in backend engineering , ideally with Go and ML frameworks like PyTorch or TensorFlow Familiarity with MLOps , cloud infrastructure (AWS) , Kubernetes , and Terraform Experience evaluating and deploying models (including anomaly detection, RAG, and clustering) in noisy, evolving data environments Nice to Have More ❯

AI/ML and/or statistical signal processing to sequential data in industry. Experience in Python software development. Experience in ML and deep learning frameworks such as Tensorflow, Pytorch, scikit-learn etc. A background in Aerospace, Defence or Public Sector consulting. Experience in one or more of: RF, CEMA, Electronic/Electromagnetic Warfare, Radar Signal Processing, Acoustic Data Processing More ❯

processing, autonomy, and sensor fusion. Key Requirements: PhD or equivalent experience in AI/ML or statistical signal processing Strong Python programming and use of ML libraries (e.g., TensorFlow, PyTorch) Demonstrated experience with sequential data and real-time decision systems Ability to mentor junior colleagues and produce publishable R&D outcomes Benefits: 10% annual bonus Flexible hybrid working with minimal More ❯