1 to 25 of 32 TensorFlow Jobs in the South East

core ML concepts (classification, time-series, statistical modeling) and their real-world tradeoffs. Fluency in Python and commonly used ML libraries (e.g. pandas, scikit-learn; experience with PyTorch or TensorFlow is a plus). Experience with model lifecycle management (MLOps), including monitoring, retraining, and model versioning. Ability to work across data infrastructure, from SQL to large-scale distributed data More ❯

meet deadlines, 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 More ❯

Deloitte 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 More ❯

Deloitte 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 More ❯

learning engineers, AI researchers, and data scientists, driving end-to-end AI solution delivery. Designing and implementing AI architectures across cloud and on-prem environments, leveraging tools like PyTorch, TensorFlow, and Hugging Face. Spearheading the development of production ready AI models, from foundational LLMs to custom built cognitive agents, solving real world business challenges. Establishing scalable ML/AI More ❯

we need from you: Strong background in NLP and AI, particularly with LLMs and RAG-based solutions Proficiency in Python and modern AI/ML libraries (e.g. HuggingFace, LangChain, TensorFlow, PyTorch) Experience with data exchange and storage frameworks (e.g. APIs, SQL, NoSQL, Parquet) Track record of delivering technical solutions in Agile environments Excellent communication skills and a collaborative mindset More ❯

Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability More ❯

Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability More ❯

Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability More ❯

Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability More ❯

3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on GCP . Deep understanding of statistics, machine learning algorithms, and data modelling. Strong analytical mindset with a knack More ❯

Integrating ML workflows with platforms such as Benchling , PubMed APIs , and internal R&D systems Supporting model validation, performance benchmarking, and regulatory documentation Key Technologies & Tools: ML Frameworks: PyTorch, TensorFlow, Hugging Face Transformers Bio-AI Tools: AlphaFold, RoseTTAFold, BioBERT, DeepCell, Cellpose Data Sources: Genomic datasets, microscopy images, biomedical literature Cloud & DevOps: AWS/GCP, Docker, Kubernetes, MLflow Languages: Python More ❯

MLOps, Deep experience with Azure services, especially Azure Machine Learning, Azure Kubernetes Service (AKS), Azure Data Lake, and Azure Synapse, Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn, Strong understanding of MLOps concepts, including continuous integration/continuous, deployment (CI/CD) for ML, model versioning, monitoring, and retraining, Proficiency with Scripting and More ❯

have 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 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: Knowledge graphs & graph ML (e.g. PyTorch-Geometric, Neo4j) NLP and information extraction (transformer-based models desirable) Semantic reasoning, ontology More ❯

Docker and containerisation tools Experience working with APIs for data extraction Desirable Skills Familiarity with big data technologies such as Spark and Kafka Experience with machine learning frameworks like TensorFlow or PyTorch Knowledge of data visualisation tools such as Power BI or Tableau Strong understanding of data modelling and database optimisation Experience with dimensional data modelling Interested in learning More ❯

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 ❯

Proven experience as a Data Scientist, ideally in a government, defence, or security environment. Strong programming skills in Python or R, including experience with libraries such as scikit-learn, TensorFlow, or PyTorch. Solid understanding of statistical modelling, machine learning, and data mining techniques. Experience with SQL and working with large-scale databases. Familiarity with data visualisation tools (e.g., Power More ❯

mindset 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 More ❯

scale AI systems. Expertise in Agentic AI, LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs, and building multi-agent systems. Comfortable balancing strategic thinking with hands-on coding. The client is accepting candidates More ❯

help shape AI risk frameworks. Required Skills & Experience 10+ years of professional experience, including demonstrable AI/ML expertise. Hands-on knowledge of LLMs, deep learning frameworks (eg, PyTorch, TensorFlow). Advanced Python skills; SQL a plus. Experience articulating risks in business terms and advising on mitigation. Excellent stakeholder communication skills, up to C-level. Strong analytical and reporting More ❯

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: Experience More ❯

vision 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 More ❯

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 evaluation More ❯

Convolution Neural Networks (CNN s) for machine vision and image analysis applications Experience with large-scale data sets Experience with open source machine learning platforms such as Keras/tensorflow or PyTorch Ability to develop using rapid prototyping techniques aimed at demonstrating applications quickly in a fast moving environment. Agile/DevOps Familiarity f SCRUM Familiarity f DevOps Continuous More ❯