13 Permanent Azure Machine Learning Jobs in London

Engineer for FinTech start-up business Day Rate: £550-600 | Location: London/flexible to wfh | 6–9 months contract outside IR35 Skills: Machine Learning and Data Engineering Role responsibilities: Design the data pipelines and engineering infrastructure to support machine learning system … at scale. Take offline models data scientists build and turn them into a real machine learning production system. Develop and deploy scalable tools and services to handle machine learning training and inference. Identify and evaluate new technologies to improve performance, maintainability, and … reliability machine learning system. Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc. Support model development, with an emphasis on auditability, versioning, and data security. Facilitate the development and deployment of proof-of-concept machine more »

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 »

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 Machine Learning 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 Azure ML, Databricks MLFlow, and LLMOps for streamlined Machine Learning operations. Ensure data governance and data cataloging standards are maintained, utilizing tools such as Collibra and Talend Data Catalogue. Collaborate with more »

technologies, and evaluating the evolution of the architecture as the organisation's needs change. Envision, build, deploy and operationalise an end-to-end machine learning (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, Azure ML is a plus. Languages : Python, SQL, T-SQL, SSIS and high-level programming knowledge on Spark is a plus. DB: Azure more »

unique benefits package that includes personal training sessions, well-being provisions, and an additional day off for your birthday! We benefit from a learning culture and are keen to develop our employees to advance their careers at Aventum. Role Summary You will work in various settings to build … adding activities through automation or outsourcing. Operations: Design and implement the management, monitoring, security, and privacy of data using the full stack of Azure data services to satisfy business needs. Ensuring non-functional system characteristics such as such as security, maintainability, quality, performance, and reliability are captured … Synapse or related tools with cloud-based resources (e.g. Stored Procedures, ADF, NoSQL Databases, JSON/XML data formats) Hands-on experience with Azure Functions, Azure service bus, Azure Data Factory data integration techniques Knowledge of Data Modelling concepts, monitoring, designs 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 … want our legacy to be the leaders we produce for the industry. Will you be next? Job Description: We are seeking an experienced Azure Cloud Architect to join our team. The ideal candidate will have extensive experience in architecting solutions on Azure Cloud platforms … and possess strong DevOps skills, including CI/CD pipelines. The Azure Cloud Architect will play a crucial role in designing, implementing, and maintaining cloud-based solutions for Pharmaceutical clients. Skills Required: Architect level Experience in Azure Cloud platforms. Experience with DevOps roles and 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 »

+ BONUS AND BENEFITS I’m working with a leading Microsoft Partner who currently hold 13 specialisations across the Azure tech stack. This is a great opportunity to join an experienced team of Microsoft specialists who can help to grow your professional and technical skills each day. … using the Kimball methodology Experience or awareness of Big Data and Data Science related technologies, such as R or Azure Machine Learning, to design and implement predictive analytics models Excellent communication and problem solving skills There is a great opportunity for career development more »

data sets and data warehousing. Familiarity with Agile development and project management. Experience with cloud platforms (AWS, Azure, GCP) and machine learning concepts. Understanding of DevOps practices and CI/CD pipelines. Previous work in a Government or Defence-related industry. This job 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 … model deployment and MLOps. Responsibilities Design and implement both 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 »

pytorch, langchain, llamaindex, bedrock, sagemaker, huggingface, mlflow, gradio, Flask, FastAPI, SQLAlchemy, psycopg2, boto3, gunicorn, pytest, and scrapy Experience with cloud services like Microsoft Azure (Data Factory, ML Studio, Synapse Analytics, etc.) Interest in researching, testing, and implementing state-of-the-art technologies to address challenges We are more »

for other stakeholders across the 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 »

the foundational technologies that underpin our products and services. This role demands a good understanding of a specific tech stack, including Databricks, Snowflake, Azure, as well as ML/AI frameworks, Python, and C#. You will collaborate with cross-functional teams to ensure our cloud and AI … core engineering capabilities. Duties and responsibilities Support and guide stakeholders and product teams with design and development of solutions leveraging Databricks, Snowflake and Azure for cloud computing services. Be at the forefront of introducing AI/ML technology and frameworks into our core technology capabilities. Develop and … technologies for superior performance and user experience. Ensure system designs adhere to best practices, supporting the strategic direction of the company and leveraging Azure cloud services effectively. Troubleshoot and resolve complex issues related to the specific tech stack, providing expertise in Databricks, Snowflake, Azure more »