1 to 14 of 14 Azure Machine Learning Jobs in London

the day-to-day tasks? Design and develop AI models and solutions using Azure Open AI, Azure Machine Learning, 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, machine learning, 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 Azure Machine Learning. Familiarity with Azure Databricks is a plus. Solid background in machine learning algorithms, data pre-processing more »

I am currently on the lookout for a Security Cleared Machine Learning Engineer who has extensive experience working in the Azure Cloud Platform. I am currently looking to suppot a Public Sector consultacy who are actively supplying into a Government department. Responsibilities: Develop … and deploy machine learning models on the Azure cloud platform. Collaborate with data scientists and engineers to design and implement scalable solutions. Optimize and fine-tune machine learning models for performance and efficiency. Ensure compliance with security standards and … best practices. Troubleshoot and debug issues as they arise. Document code, processes, and procedures. Requirements: Extensive experience working as a Machine Learning Engineer. Strong proficiency in Python programming language. Hands-on experience with Azure cloud services, including Azure Machine more »

MLE Engineer - Azure SR2 is recruiting for one of the UK's leading AI companies and looking for a Machine Learning Engineer (MLE) on an outside IR35 contract basis. We are looking for out and out MLE's with strong commercial Machine Learning experience using the Azure/Microsoft ML suite. Responsibilities: Building software and infrastructure that leverages Machine Learning Creating reusable, scalable tools to enable better delivery of ML systems Improving existing systems to enable more scalable, reliable, and maintainable … practices and new technologies Experience required: Technical experience of cloud architecture, system design, security, and deployment Understanding of and interest in the full machine learning lifecycle, including deployment of trained ML models using common frameworks (Scikit-learn, TensorFlow, PyTorch) and ideally Azure managed more »

technologies e.g. Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Machine Learning, Azure Synapse, Azure ML, Azure Cognitive Services, PowerBIKnowledge and exposure of financial more »

Data Scientist - 1x/month in London - up to GBP80kNFI08082023SF-7_1691513874Are you an enthusiastic Data Scientist who is looking to work with Machine Learning projects?My client are a start-up software company who are looking to change all digital interactions. Due to growing, we … are looking to hire a Data Scientist/ML Engineer with experience in Python,(Numpy/Scikit - learn), ML/Azure ML, SQL and ideally you would have a research and development background. Within this role, you will work closely with Software Engineers, execute R&D programme … your findings, advise the product engineering teams and characterise and optimise candidate technologies.Minimum qualifications required: * Strong experience with SQL/Python * Understanding of Machine Learning, Azure ML and AI * Statistical analysis skills * Excellent communication skillsThe role pays up to 80,000, depending on more »

and cost-saving measures across the organization. Lead and mentor a team of data analysts and BI specialists, fostering a culture of continuous learning and development with a specific focus. Qualifications: Minimum of five years of leadership experience in business intelligence and analytics. Proven track record of success … datasets using statistical techniques. Proven ability to lead and manage a team of data analysts and BI specialists, fostering a culture of continuous learning and innovation. Preference for candidates with experience in Microsoft Azure, Azure Synapse Analytics, and Azure … Microsoft technologies for comprehensive data solutions. Additional consideration for candidates with experience in data science and proficiency in Python for data analysis and machine learning applications. Please share your CV on shivani@thereacthub.com or you can directly call me on +44 2038542459. more »

chain. A strong awareness and experience of process optimization tools, techniques, and approaches, Good Experience in facilitating the process mining around AWS and AZURE Cloud infrastructure. Part of many full life cycle SAP Implementations for major clients. Drive data migration strategy and process to enable quality data … Data base concepts. Oracle, Vertica etc.. SAP Certifications (At least 1) SAP ABAP SAP Functional Modules (SD,MM,CRM, or FI,CO etc..) Machine Learning in The Cloud with Azure Machine Learning. Our Mission ITC Infotech is a leading global technology more »

Xcede are delighted to be working with a well-renowned insurance company based in Hertfordshire. The company have an excellent Data Science and Machine Learning unit supported by a group of Data Engineers who are responsible for Data Pipelines. As a bonus - Data Engineers are also … ML model deployment and MLOps. Responsibilities Design and implement Data Pipelines for both structured and unstructured data. Support and improve ML infrastructure – particularly Azure ML. Data Engineering: Guarantee data access, Data quality, ETL, Data pipelines Platform administration: Help set up accesses, infrastructure, create new storage, enforce best … than just writing code) An ability to write production quality Python code. Strong SQL Skills Experienced creating data pipelines in a cloud (preferably Azure) environment TDD & CI/CD experience Containerisation experience (Docker, Kubernetes, etc.) Good understanding of software best practises MongoDB (or NoSQL) experience Terraform experience more »

the-art AI models for content generation and personalisation. Handle a variety of data types, ensuring they are primed for use in their machine learning models. Develop and deploy applications based on Large Language Models, including specialised techniques in Retrieval-Augmented Generation (RAG). Ensure high … equivalent experience. Experience creating LLM & RAG driven applications. Proficiency in programming with tools like Python, TensorFlow, and PyTorch. ML Deployment with services like Sagemaker, AzureML, VertexAI etc. A keen understanding of AI ethics and responsible AI deployment. Innovative thinking and excellent problem-solving abilities. Desirable skills: Experience with cloud infrastructures … remote possibilities. The opportunity to work on a cutting-edge platform that is setting new standards in the AI domain. Access to continuous learning and development programs to further enhance your skills. A chance to be part of a collaborative and inclusive team environment, where innovation and creativity more »

Xcede are delighted to be working with a well-renowned insurance company based in Hertfordshire. The company have an excellent Data Science and Machine Learning unit supported by a group of Data Engineers who are responsible for Data Pipelines. As a bonus - Data Engineers are also … ML model deployment and MLOps. Responsibilities Design and implement Data Pipelines for both structured and unstructured data. Support and improve ML infrastructure – particularly Azure ML. Contribute to MLOps across the organisation. Requirements An academic background in Statistics, Mathematics, or Computer Science (or similar) A number of years … than just writing code) An ability to write production quality Python code. Strong SQL Skills Experienced creating data pipelines in a cloud (preferably Azure) environment TDD & CI/CD experience Containerisation experience (Docker, Kubernetes, etc.) MongoDB (or NoSQL) experience Terraform experience Previous experience in managing the ML more »

data quality and reliability. Identify and implement internal process enhancements, such as automating manual tasks and optimising data delivery. Utilise cloud-based infrastructure (Azure) for hosting data solutions and applications. Collaborate with architects, data analysts, and data scientists to achieve business objectives. Requirements: Demonstrated expertise in developing … architecture. Proficient in Data Modelling on a cloud-based data platform. Extensive experience with SQL Server and relational databases. Solid understanding of the Azure data engineering stack, including Azure Synapse and Azure Data Lake. Programming skills in Python, PySpark, and T … SQL. Nice to haves: Familiarity with broader Azure Data Solutions, such as Azure ML Studio. Previous experience with Azure DevOps and knowledge of CI/CD practices. more »

other stakeholders across the business. It's an opportunity for embarking on interesting challenges in an established business! Essential Skills (3 years): Python Azure ML and deploying algorithms in production environments SQL PowerBI Background in analysing financial information (credit risk/insurance/FX Rates/Commodity more »

this data availableforother stakeholders acrossthe business.It's an opportunity for embarking on interesting challenges at a global scale! Essential Skills (3 years): Python Azure ML and deploying algorithms in production environments SQL PowerBI Background in analysing financial information (credit risk/insurance/FX Rates/Commodity more »

to £75k per annum - Perm Must have full rights to work – there is no VISA sponsorship VIQU has partnered with an education and learning institution to find a Head of Data and Integration. You will be managing a team of over 8 Data Officers. The role requires you … as system integration Proficiency in SQL and other relational and non relational databases Data visualization (Tableau/PowerBI) Cloud database knowledge (AWS or Azure) Datamining, ML, AI Can simplify complex data into compelling and insightful stories Analytical and problem solving abilities Experience in Data flow management, data more »