126 to 150 of 778 Machine Learning Jobs in the South East

open AI Technical Expertise: •Proven experience in data science leadership roles with team management. •Strong expertise in Azure Machine Learning, Python, and ML frameworks (TensorFlow, PyTorch, Scikit-learn). •Hands-on experience with MLOps, CI/CD pipelines, and model monitoring. •Knowledge of cloud architecture, data engineering … security best practices. •Design and implement ML pipelines on Azure Machine Learning. •Own end-to-end model lifecycle: data ingestion, feature engineering, training, deployment, and monitoring. •Excellent communication and stakeholder management skills Key Responsibilities: •Team Leadership & Management •Manage and mentor a team of data scientists and ML engineers. •Allocate ...

. BUV has three main brand drivers: Offering accredited British and international higher education and training in Vietnam. Providing 5-star university campuses, learning spaces, and services. Including a Personal and Social Growth (PSG) Program that prepares students for the future of life and work. Established … after graduation. Students study at BUV's award winning campus in the Ecopark township near Hanoi. With its state-of-the-art teaching and learning facilities and an iconic design, BUV is recognised as one of the best educational environments in Southeast Asia. POSITION REQUIREMENTS The position requires ...

looking for an excellent ML Ops Engineer to join our research and development team. Key Responsibilities This opportunity is to join the ML Operations teams which supports the ML Development team in building leading-edge motion capture products through provisioning and maintaining a modern ML Operations stack. This stack covers … data acquisition pipelines, data management and ML model training infrastructure (SW and on-prem HW). We use both on-prem, self-managed systems and also leverage AWS infrastructure. You will have opportunities to guide the technical direction of the ML Ops team, suggest new areas of development ...

auditability, address bias and fairness concerns, and implement risk management protocols. Build, mentor, and manage cross-functional AI teams including AI Engineers, data scientists, ML engineers and researchers. Foster a culture of innovation and continuous learning. Guide the selection and implementation of AI technologies, platforms, and tools. Ensure best practices … evaluate other emerging AI technologies, and drive experimentation with cutting-edge approaches. Are we the perfect match? 8-12+ years in AI/ML or a background in Data with 3-5+ years in leadership roles. Deep understanding and experience of AI technologies, trends and strategies with expertise ...

with a technology-led organisation to hire a Senior Data Engineer with strong cloud and Python experience and hands-on exposure to PyTorch-based ML workloads . This role sits firmly in data engineering rather than data science or pure ML engineering and will suit someone who has supported ML … reliably and efficiently. The focus is on robust engineering , not experimentation. Key Responsibilities * Design, build, and maintain scalable cloud data pipelines supporting ML workloads* Manage large volumes of unstructured data using cloud object storage (GCS/S3)* Support PyTorch-based data loading and dataset management in production environments* Work closely ...

architectures. Programming Skills: Expert proficiency in Python and Rust, with desirable knowledge in C and C++. AI Knowledge: Solid understanding of machine learning and deep learning fundamentals, including architectures and evaluation metrics. Problem-Solving: Strong analytical skills and the ability to design and conduct rigorous experiments. Team … Skills: Experience with ARM 64-bit architecture and CPU hardware architectures. Knowledge of trusted execution environments (confidential computing). Hands-on experience with deep learning model optimization (quantization, pruning, distillation). Familiarity with lightweight inference runtimes (ExecuTorch, llama.cpp, Candle). ...

will be the principal technical leader, driving strategy, setting standards, and delivering high-impact solutions that transform business outcomes. Key Responsibilities AI/ML Strategy & Architecture: Define the technical roadmap and architectural standards for deploying and scaling complex AI systems, particularly those involving Generative AI (GenAI), large language models (LLMs … using Apache Spark (Scala) and Hive on massive datasets to support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands ...

will be the principal technical leader, driving strategy, setting standards, and delivering high-impact solutions that transform business outcomes. Key Responsibilities AI/ML Strategy & Architecture: Define the technical roadmap and architectural standards for deploying and scaling complex AI systems, particularly those involving Generative AI (GenAI), large language models (LLMs … using Apache Spark (Scala) and Hive on massive datasets to support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands ...

will be the principal technical leader, driving strategy, setting standards, and delivering high-impact solutions that transform business outcomes. Key Responsibilities AI/ML Strategy & Architecture: Define the technical roadmap and architectural standards for deploying and scaling complex AI systems, particularly those involving Generative AI (GenAI), large language models (LLMs … using Apache Spark (Scala) and Hive on massive datasets to support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands ...

will be the principal technical leader, driving strategy, setting standards, and delivering high-impact solutions that transform business outcomes. Key Responsibilities AI/ML Strategy & Architecture: Define the technical roadmap and architectural standards for deploying and scaling complex AI systems, particularly those involving Generative AI (GenAI), large language models (LLMs … using Apache Spark (Scala) and Hive on massive datasets to support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands ...

will be the principal technical leader, driving strategy, setting standards, and delivering high-impact solutions that transform business outcomes. Key Responsibilities AI/ML Strategy & Architecture: Define the technical roadmap and architectural standards for deploying and scaling complex AI systems, particularly those involving Generative AI (GenAI), large language models (LLMs … using Apache Spark (Scala) and Hive on massive datasets to support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands ...

will be the principal technical leader, driving strategy, setting standards, and delivering high-impact solutions that transform business outcomes. Key Responsibilities AI/ML Strategy & Architecture: Define the technical roadmap and architectural standards for deploying and scaling complex AI systems, particularly those involving Generative AI (GenAI), large language models (LLMs … using Apache Spark (Scala) and Hive on massive datasets to support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands ...

will be the principal technical leader, driving strategy, setting standards, and delivering high-impact solutions that transform business outcomes. Key Responsibilities AI/ML Strategy & Architecture: Define the technical roadmap and architectural standards for deploying and scaling complex AI systems, particularly those involving Generative AI (GenAI), large language models (LLMs … using Apache Spark (Scala) and Hive on massive datasets to support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands ...

will be the principal technical leader, driving strategy, setting standards, and delivering high-impact solutions that transform business outcomes. Key Responsibilities AI/ML Strategy & Architecture: Define the technical roadmap and architectural standards for deploying and scaling complex AI systems, particularly those involving Generative AI (GenAI), large language models (LLMs … using Apache Spark (Scala) and Hive on massive datasets to support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands ...

will be the principal technical leader, driving strategy, setting standards, and delivering high-impact solutions that transform business outcomes. Key Responsibilities AI/ML Strategy & Architecture: Define the technical roadmap and architectural standards for deploying and scaling complex AI systems, particularly those involving Generative AI (GenAI), large language models (LLMs … using Apache Spark (Scala) and Hive on massive datasets to support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands ...

will be the principal technical leader, driving strategy, setting standards, and delivering high-impact solutions that transform business outcomes. Key Responsibilities AI/ML Strategy & Architecture: Define the technical roadmap and architectural standards for deploying and scaling complex AI systems, particularly those involving Generative AI (GenAI), large language models (LLMs … using Apache Spark (Scala) and Hive on massive datasets to support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands ...

enhance CRM strategies • Provide data-driven recommendations to improve customer engagement metrics Skills ● Relevant experience in Customer Marketing Data Science including applied statistics and machine learning techniques (supervised and unsupervised learning, natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ● Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) ● Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku, Databricks. ● Experience with ML ...

integration and management of feature engineering processes and model outputs into Foundry's data ecosystem, helping enable scalable deployment and monitoring of AI/ML solutions as you develop your skills in this area. Engaged in gathering and translating stakeholder requirements for key data models and reporting, with a focus … MLOps, is also a plus. You will be considered a strong fit if you have: Master's degree in engineering (such as AI/ML, Data Systems, Computer Science, Mathematics, Biotechnology, Physics), or minimum 2 years of relevant technology experience. Experience with Generative AI (GenAI) and agentic systems will ...

organize legal and market data, improving search, discoverability, and insight accuracy. LLM & Machine Learning Application Engineering Design, build, and maintain traditional ML and LLM models and pipelines. Build LLM apps using LangGraph/LangChain: tools/function calling, structured outputs (JSON Schema), agents, and multi-step reasoning. Implement … . Choose customization paths pragmatically: prompt engineering, system prompts, tools, adapters/LoRA, and selective fine-tuning only when needed. Fine-tune and optimise ML models and LLMs to enhance performance, efficiency, and relevance for Chambers’ research, analytics, and product applications. Apply best practices for model adaptation, evaluation, and deployment ...

looking for an excellent ML Ops Engineer to join our research and development team. Key Responsibilities This opportunity is to join the ML Operations teams which supports the ML Development team in building leading-edge motion capture products through provisioning and maintaining a modern ML Operations stack. This stack covers … data acquisition pipelines, data management and ML model training click apply for full job details ...

digital transformation and use data to gain a competitive advantage. With analytics solutions that provide a 360-degree view of the digital consumer, fuel machine learning capabilities and support artificial intelligence initiatives., LatentView Analytics enables leading global brands to predict new revenue streams, anticipate product trends and popularity ...

communicate model selection, deployment strategies and the rationale behind technical decisions, fostering transparency and trust. Mentor and develop team members, promoting innovation, continuous learning, and professional growth within the London Data Science team. Maintain rigorous quality assurance and governance protocols for all AI projects, ensuring compliance with ethical … translating technical insights into business value. Experience in AI governance, ethical frameworks, and regulatory compliance. Skills: Advanced proficiency in data science techniques, including machine learning, optimisation, simulation, deep learning, and generative AI. Comprehensive understanding of the mathematical foundations underpinning AI algorithms. Strong stakeholder engagement and relationship-building ...

Tetra Tech is looking for a Principal/Associate Geospatial Developer (GIS/AI/ML) to join our team and help us transform our Geospatial solutions with our Leading with Science mantra for our clients. Principal/Associate Geospatial Developer (GIS/AI/ML) Manchester or Southampton Tetra … Tech is looking for a Principal/Associate Geospatial Developer (GIS/AI/ML) to join our team and help us transform our Geospatial solutions with our Leading with Science mantra for our clients. Why this is a great opportunityfor you: Shape the Future: Lead the design and delivery ...

Senior ML Research Engineer is sought to join an innovative AI research team in Surrey, contributing to the development of advanced AI models and algorithms for speech, audio, and generative AI applications. The Senior ML Research Engineer in Surrey, will be expected to expand their expertise in machine learning and audio/speech processing, learning from peers and senior engineers while applying click apply for full job details ...

deployment of predictive models (e.g., fall prediction, infection risk) using Azure Machine Learning Work with developers and product teams to integrate ML outputs into dashboards, APIs, and customer-facing tools Perform data exploration, cleaning, and statistical analysis to support product innovation and business decisions Help ensure models ...