Claude, Gemini, or Perplexity. Strong understanding of generative AI principles, prompt chaining, context window management, and token efficiency. Proficiency in Python and experience with AI/ML frameworks like TensorFlow, PyTorch, or Hugging Face. Experience integrating AI into enterprise platforms such as DealCloud, Salesforce, or similar CRMs. Understanding of workflow automation tools (e.g., Zapier, n8n, Make) and dashboarding platforms More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Robert Half
The AI Engineer will have proven experience developing and deploying machine learning models in a commercial or scientific environment.* Proficient in Python and familiar with key libraries such as TensorFlow, PyTorch, and scikit-learn.* Experience working with cloud platforms such as Azure, AWS, or GCP, ideally within a data engineering or MLOps context.* Strong understanding of data processing, feature More ❯
procedures for information governance, especially when using patient data Qualifications Essential Expertise building statistical models and use of machine learning using Python libraries such as Scikit-learn, Keras, and TensorFlow frameworks Experience in natural language processing Experience with one or more data management tools (SQL etc.) Demonstrable use of programming in collaborative and reproducible analysis pipelines Experience using data More ❯
ML or GenAI platforms end-to-end. Hands-on expertise with Google Gemini and associated GCP AI/ML tools. Strong programming ability in Python, with frameworks such as TensorFlow and PyTorch. Experience migrating models from Dataiku (or similar platforms) into Google Cloud environments. Knowledge of MLOps, model monitoring, data drift, and concept drift. Understanding of AI bias mitigation More ❯
a major conversational AI platform (Google Dialogflow, Amazon Lex, Rasa, or similar). A solid understanding of core Python ML libraries (Keras, scikit-learn, Pandas) and deep learning frameworks (TensorFlow, PyTorch). Desirable (but not essential) experience: Working with tools/interfaces for AI applications e.g. MCP protocol. Training traditional ML and DL models using tools like Axolotl, LoRA More ❯
a major conversational AI platform (Google Dialogflow, Amazon Lex, Rasa, or similar). A solid understanding of core Python ML libraries (Keras, scikit-learn, Pandas) and deep learning frameworks (TensorFlow, PyTorch). Desirable (but not essential) experience: Working with tools/interfaces for AI applications e.g. MCP protocol. Training traditional ML and DL models using tools like Axolotl, LoRA More ❯
re looking for: Strong track record as an AI/ML or Privacy Engineer with end-to-end model development experience. Proficiency in Python, plus hands-on experience with TensorFlow, PyTorch, or JAX. Skilled in cloud environments (GCP required; multi-cloud experience a plus). Knowledge of adversarial testing, model robustness, and data security best practices. Excellent communicator, able More ❯
re looking for: Strong track record as an AI/ML or Privacy Engineer with end-to-end model development experience. Proficiency in Python, plus hands-on experience with TensorFlow, PyTorch, or JAX. Skilled in cloud environments (GCP required; multi-cloud experience a plus). Knowledge of adversarial testing, model robustness, and data security best practices. Excellent communicator, able More ❯
prototype cutting-edge AI techniques (e.g., deep learning, reinforcement learning, generative models). Support continuous model improvement and scalable MLOps deployment pipelines. TECH STACK/REQUIREMENTS Core Skills: Python, TensorFlow/PyTorch, scikit-learn, OpenCV, NumPy, Pandas Experience With: Model training, tuning, and deployment in production environments Preferred: Sports data analytics, time-series forecasting, or computer vision experience Infrastructure … sports video analytics TO BE CONSIDERED Please apply directly by emailing with your CV and availability. KEYWORDS: AI Engineer, Machine Learning Engineer, Sports Analytics, Computer Vision, Deep Learning, Python, TensorFlow, PyTorch, MLOps, Data Science, Predictive Modelling, Sports Tech, AI in Sports More ❯
who have experience at large, international companies. Technical Skills : Strong proficiency in languages like Java, Scala, or Python . Deep Learning Frameworks : Hands-on experience with either PyTorch or TensorFlow . Experience : Previous experience working on distributed systems is a plus. This is an urgent vacancy with deadline where the hiring manager is shortlisting for an interview immediately. Please More ❯
