the day-to-day tasks? Design and develop AI models and solutions using Azure Open AI, AzureMachineLearning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring … and IT teams to integrate AI solutions into existing systems and workflows, enhancing their capabilities and impact. Stay abreast of advancements in AI, machinelearning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings. Provide expertise and guidance on … AI solutions, including Azure Open AI Service, Azure Cognitive Services, and AzureMachine Learning. Familiarity with Azure Databricks is a plus. Solid background in machinelearning algorithms, data pre-processing more »
Cheltenham, Gloucestershire, South West, United Kingdom
Searchability NS&D Ltd
enhanced DV (West) Clearance Up to £75k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in MachineLearning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with enhanced DV … the Defence and Security sector for AI & Data transformation opportunities Key Skills and Requirements Essential: Active Enhanced DV Clearance Applying data science or machinelearning in Defence/Security, public sector, or academia Proficiency in various machinelearning architectures and models Methodical … problem-solving skills Effective communication of complex technical concepts to diverse audiences Client relationship management abilities Desirable: Cloud-based Data Science and MachineLearning services (AWS, Azure, GCP) Familiarity with Python libraries for data management, statistics, machinelearning, and more »
Guildford, Surrey, South East, United Kingdom Hybrid / WFH Options
Allianz Insurance Plc
strategies. You will collaborate with cross-functional teams to identify business opportunities, design experiments, and develop predictive models. Your expertise in statistical analysis, machinelearning, and data visualization within the Data Science ecosystem will be instrumental in extracting meaningful insights from diverse datasets. This role requires … Analyse business data and AI priorities, strategies and requirements and translate them into reusable architecture artefacts for the enterprise. Develop and deploy advanced machinelearning models using AzureMachineLearning and open-source stack. Apply statistical analysis and hypothesis … a plus. Understanding of Knowledge Graphs and LLM's is advantageous. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Expertise in machinelearning algorithms and frameworks (e.g., TensorFlow, Keras, PyTorch). Strong problem-solving skills and the ability to translate business challenges into data more »
and Analytics Platform team is in the middle of an exciting transformation in building out On Demand platforms to enable Advanced Analytics and MachineLearning at scale to power multiple Data , AI, ML initiatives. As such, your role will be key contributor to building and securing … next generation Data, Analytics and MachineLearning capabilities into Enterprise Data and Analytics Platform. Job Summary and Mission As a Starbucks senior engineer, your core role will be contributing to the development and operations of our Enterprise AI/ML Platform. In this role you will … You will bring in solid skills to act as an Individual Contributor involving Building and enhancing SRE capabilities for producitonalizing AI/ML models. Azure Cloud Automation using Python or Powershell and ARM Demonstrated expertise in Kubernetes Cluster Design, administration and operations Demonstrated expertise in CICD tooling more »
MLE Engineer - Azure SR2 is recruiting for one of the UK's leading AI companies and looking for a MachineLearning Engineer (MLE) on an outside IR35 contract basis. Responsibilities: Building software and infrastructure that leverages MachineLearning Creating … practices and new technologies Experience required: Technical experience of cloud architecture, system design, security, and deployment Understanding of and interest in the full machinelearning lifecycle, including deployment of trained ML models using common frameworks (Scikit-learn, TensorFlow, PyTorch) and ideally Azure managed … ones (AzureML Workspace, AzureML Studio) Experience in Software Engineering including programming and development of applications in Python (e.g. FastAPI) Demonstrable experience with containers (Docker). Kubernetes experience is desirable, but not required Experience deploying Generative AI applications is desirable (e.g. RAG systems more »
pushing the boundaries of what's possible with analytics and AI, and we are seeking a talented Solutions Architect with expertise in MicrosoftAzure and Natural Language Processing (NLP) models to join our dynamic team. As a Solutions Architect specializing in MicrosoftAzure, you … processing and extracting insights from unstructured text data. Key Responsibilities: Lead the design and architecture of analytics and AI solutions on the MicrosoftAzure platform, ensuring alignment with business objectives, scalability, and reliability. Work closely with data scientists and AI engineers to integrate NLP models into our … solution offerings. Conduct performance optimisation, scalability assessments, and security reviews for existing and proposed architectures. Serve as a subject matter expert on MicrosoftAzure services, providing mentorship and training to team members as needed. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a more »
founding in 2010, technology innovation has been our winning differentiation, and we continue to leapfrog competition with platforms that deploy Artificial Intelligence and Machine Learning. Our cloud-based platforms - Axtria DataMax™, Axtria InsightsMax™, Axtria SalesIQ™, and Axtria MarketingIQ™ - enable customers to efficiently manage data, leverage data science to … and Elasticsearch for efficient data storage and retrieval. Demonstrate proficiency in programming languages including Python, Spark, Databricks, Pyspark, SQL, and ML Algorithms. Implement MachineLearning models and algorithms using Pyspark, Scikit Learn, and other relevant tools. Manage Azure DevOps, CI/CD pipelines … for efficient software development and deployment. Implement ML/OPS solutions using AzureML, Databricks MLFlow, and LLMOps for streamlined MachineLearning operations. Ensure data governance and data cataloging standards are maintained, utilizing tools such as Collibra and Talend Data Catalogue. Collaborate with more »
concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership … deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Expertise in popular machinelearning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or … AzureMachineLearning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in more »
concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership … deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Expertise in popular machinelearning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or … AzureMachineLearning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in more »
concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership … with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machinelearning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or … AzureMachineLearning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable more »
concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership … with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machinelearning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or … AzureMachineLearning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable more »
concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership … with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machinelearning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or … AzureMachineLearning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable more »
concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership … balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machinelearning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or … AzureMachineLearning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable more »
concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership … balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machinelearning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or … AzureMachineLearning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable more »
concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership … balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machinelearning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or … AzureMachineLearning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable more »
Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact. Expertise in popular machinelearning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or … AzureMachineLearning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in … Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machinelearning life cycle from experimentation to production. Responsibilities Lead and expand the strategic vision for deploying AI and advanced analytics translating cutting more »
Senior .Net Developers (.Net 7, Azure, MachineLearning) Bournemouth, Dorset (2-3 days per week in office) £45-65k + 7-8% Bonus + £5k Relocation package. There is a £5000 relocation package available for these roles, but only for candidates in … the right tool from the job rather than being wedded to one stack and are always looking to the future, for example with MachineLearning capabilities (predictive analytics, LLM’s and traditional AI). The culture is relaxed and there’s no red tape. You will … not any design work. They are on to Angular 16/Angular Material but are quite happy to speak to those open to learning it, or transitioning from Vue/React/Svelte for example. The ideal candidate will have Azure DevOps experience and knowledge more »
Greater Cardiff Area, United Kingdom Hybrid / WFH Options
MBN Solutions
advanced cloud analytics alongside the necessary analytics governance. The Role: Skills Required: SQL/Python/R, Power BI, AzureMachineLearning, Azure DevOps, Cloud technology is utilized and integrated, with a focus on Azure and Databricks. … throughout project management and delivery phases, continually refining solutions to increase business impact. • Showcase hands-on expertise in various data science methodologies, encompassing machinelearning, operational research, artificial intelligence, and programming. • Excel in advanced programming, particularly in statistical languages Python & R • Design user interfaces to streamline more »
practices, covering Continuous Integration and Continuous Delivery (CI/CD), Test-Driven Development (TDD), SDLC , etc. Familiarity working within an agile team. Developing machinelearning models ( Python or TensorFlow ) Familiarity with natural language processing or AI technologies ( e.g LLMs such as ChatGPT or BARD , Embeddings , Prompt … of software or products. Experience in some of the following areas. Experience working with Cloud Native design patterns, with a preference towards MicrosoftAzure/Google Cloud. Hands-on Technical experience with at least some of our core technologies (Terraform, Ansible, Packer). Working with cloud cognitive … Integrations, Release Management, Regression Testing, Integrations, Data Obfuscation, etc. Knowledge of Azure Data Factory/GCP Cloud Data Fusion , MicrosoftAzureMachineLearning or GCP Cloud ML Engine , Azure Data Lake , Azure Databricks or more »
Guildford, England, United Kingdom Hybrid / WFH Options
Clearwater People Solutions Ltd
Identify opportunities for innovation through analytics, influencing business stakeholders, and shaping them into viable candidates aligned with strategic objectives. Develop and deploy advanced machinelearning models using cloud-based platforms. Apply statistical analysis and hypothesis testing to validate model performance and ensure robustness. Coach, guide, and … projects. Proficiency in programming languages such as Python or R, and extensive experience with ML algorithms and models. Experience with cloud services like AzureML studio, Azure functions, Azure Pipelines … Mlflow, Azure Synapse Analytics, etc., is a plus. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Expertise in machinelearning algorithms and frameworks. Strong problem-solving skills and the ability to translate business challenges into data science solutions. Excellent communication and more »
Leading Applied AI Company 🪖 Cutting edge DefenceTech 🔥 Working with the latest tech in AI and ML ⚙️Preferred Tech: Python; Azure; Machine Learning. 📍 The Company I'm working with an exciting startup who are revolutionising the way that Artificial Intelligence, MachineLearning … you come in! 💼 The Role We are looking for a Python Developer, proficient with Azure and ideally with exposure to MachineLearning to join this exciting and rapidly growing tech-focused team. You would be working with bleeding edge tech and contributing to more »
Contract - Outside IR35 - Remote mainly (occasional site visit) - Architect - Azure, MachineLearning, IoT I am hiring for a business that are creating some incredible products and services, supporting the environment and sustainability. There is an opportunity to join a flagship project to deliver … application to their wider customer base. The application sits on Azure with AKS Clusters and is an IoT app, containing machinelearning technology to deliver data driven results to the customer. The Architect is coming in to assess the scalability, performance, security and … in an assessing where they are, supporting in building the roadmap as the product and customer base scales. You'll need experience in Azure platforms and AKS, extensively and will have worked on the architecture of AI or ML products and ideally IoT devices too. This role more »
Bristol, South West, United Kingdom Hybrid / WFH Options
Movement8 Ltd
Contract - Outside IR35 - Remote mainly (occasional site visit) - Architect - Azure, MachineLearning, IoT I am hiring for a business that are creating some incredible products and services, supporting the environment and sustainability. There is an opportunity to join a flagship project to deliver … application to their wider customer base. The application sits on Azure with AKS Clusters and is an IoT app, containing machinelearning technology to deliver data driven results to the customer. The Architect is coming in to assess the scalability, performance, security and … in an assessing where they are, supporting in building the roadmap as the product and customer base scales. You'll need experience in Azure platforms and AKS, extensively and will have worked on the architecture of AI or ML products and ideally IoT devices too. This role more »
technologies, and evaluating the evolution of the architecture as the organisation's needs change. Envision, build, deploy and operationalise an end-to-end machinelearning (ML) and AI pipeline based on needs. Provide a standard common business vocabulary, expressing strategic requirements, outlining high-level integrated designs … troubleshooting skills. What you’ll be using: Platforms & Tools : Cloud Computing platforms (ADLS Gen2), Microsoft Stack (Synapse, DataBricks, Fabric, Profisee), Snowflake Data Integration, Azure Service Bus, Apache Airflow, Apache Iceberg, Apache Spark, Apache Hudi, Apache Kafka, Power BI, BigQuery, DeltaLake, Azure DevOps, Azure Monitor, Azure Data Factory, SQL Server, Azure DataLake Storage, Azure App Service, AzureML is a plus. Languages : Python, SQL, T-SQL, SSIS and high-level programming knowledge on Spark is a plus. DB: Azuremore »
Guildford, England, United Kingdom Hybrid / WFH Options
Hawksworth
products, preferably in the Insurance sector. As a Lead Data Scientist, you will lead advanced analytics and ML projects, leveraging the power of Azure tools and services, mentor junior team members, and drive innovation through cutting-edge data solutions. Required skills & Experience: Bachelor or Master's degree … Python or R, and extensive experience with ML algorithms and Models. (Regression, Tree based, Unsupervised, NLP, open-source models). Experience with other Azure cloud services like AzureML studio, Azure functions, Azure Pipelines, Mlflow … Promptflow, Azure OpenAI, Azure Synapse Analytics, etc., is a plus. Knowledge Graphs and LLM’s is advantageous. Machinelearning algorithms and frameworks (e.g., TensorFlow, Keras, PyTorch). Version control systems (e.g., Git) and CI/CD practices. Ability to lead more »