1 to 25 of 60 Azure Machine Learning Jobs

Job title: Senior Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines. Markerstudy … written as the insurance pricing provider behind household names such as Tesco, Sainsbury’s, O2, Halifax, AA, Saga and Lloyds Bank to list a few. As a Senior Machine Learning Engineer, you will use your skills to: Tune machine learning methods to best leverage our state-of-the-art processing capabilities Deploy … and maintain machine learning methods in a DevOps/MLOps based machine learning environment Create robust high-quality code using test-driven development (TDD) techniques and adhering to the SOLID coding standards Your work will enable sustained improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive More ❯

Job title: Senior Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines. Markerstudy … written as the insurance pricing provider behind household names such as Tesco, Sainsbury's, O2, Halifax, AA, Saga and Lloyds Bank to list a few. As a Senior Machine Learning Engineer, you will use your skills to: Tune machine learning methods to best leverage our state-of-the-art processing capabilities Deploy … and maintain machine learning methods in a DevOps/MLOps based machine learning environment Create robust high-quality code using test-driven development (TDD) techniques and adhering to the SOLID coding standards Your work will enable sustained improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive More ❯

Salary: Up to £75k DOE + Bonuses & Benefits Location: Cheltenham (3 days on-site per week) Security Clearance: Active Enhanced DV (West) Required Key Skills: Machine Learning, AWS/Azure, Python, NLP, AI Who We Are? We are seeking a highly skilled Data Scientist with enhanced DV clearance to join a globally recognised … services. Working across high-impact public and private sector projects, this role offers excellent career progression and the opportunity to work at the forefront of innovation in AI, machine learning, and data science. What Will You Be Doing? Applying advanced data science and machine learning techniques to solve complex challenges Conducting research … data transformation opportunities within the Defence and Security sector What Are We Looking For? Essential Skills & Experience Active Enhanced DV Clearance Proven experience in applying data science or machine learning within Defence, Security, public sector, or academia Strong knowledge of machine learning architectures and models Methodical approach to problem-solving and analytical More ❯

Machine Learning Engineer/Data Scientist Austin, TX (Must be local) 6-12 months Contract (may go for long term) THE ROLE: This ML Engineer role will support client's world-wide software engineering teams in their efforts to properly and accurately forecast resource requirements for software delivery of programs. You will interface with representatives from … to understand the key technologies that drive complexity when developing software, gather and analyze past software development effort data, and create an AI model based on a suitable machine learning framework that will automatically generate resource requirement forecasts, based on the supplied program parameters. THE PERSON: The individual is expected to work independently, yet in a … to improve with every iteration. You have strong analytical and problem-solving skills to understand complex data sets and derive actionable insights. KEY RESPONSIBILITIES: Develop, train, and evaluate machine learning models for program complexity categorization and resource forecasting. Implement and integrate models into the forecasting system. Optimize model performance and ensure accuracy. Extract and prepare data More ❯

and Defence Consultancy client. Must have active DV Clearance Up to £85k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in Machine Learning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with DV Clearance for a prestigious client to … crafting and pitching Deepen understanding of the Defence and Security sector for AI & Data transformation opportunities Key Skills and Requirements Essential: Active DV Clearance Applying data science or machine learning in Defence/Security, public sector, or academia Proficiency in various machine learning 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 Machine Learning services (AWS, Azure, GCP) Familiarity with Python libraries for data management, statistics, machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch More ❯

Job title: Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group have an exciting opportunity for a machine learning engineer to fill out the automation, pipelining, DevOps, and modelling aspects of Markerstudy’s market-leading technical modelling and pricing team. You will productionise novel insurance modelling processes … as an automated machine learning pipeline within a cloud-based environment. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1b. Most of Markerstudy’s business is written … as the insurance pricing provider behind household names such as Tesco, Sainsbury’s, O2, Halifax, AA, Saga and Lloyds Bank to list a few. As a Machine Learning Engineer, you will help build and maintain the pricing team’s MLOps and ML Lifecycle environment to support the creation of pipelines by automating the sophisticated machine More ❯

Job title: Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group have an exciting opportunity for a machine learning engineer to fill out the automation, pipelining, DevOps, and modelling aspects of Markerstudy's market-leading technical modelling and pricing team. You will productionise novel insurance modelling processes … as an automated machine learning pipeline within a cloud-based environment. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1b. Most of Markerstudy's business is written … as the insurance pricing provider behind household names such as Tesco, Sainsbury's, O2, Halifax, AA, Saga and Lloyds Bank to list a few. As a Machine Learning Engineer, you will help build and maintain the pricing team's MLOps and ML Lifecycle environment to support the creation of pipelines by automating the sophisticated machine More ❯

As a Senior Microsoft Azure AI Engineer (m/w/d) Lead AI Solution Architecture , you're responsible for the end-to-end architecture of AI/ML solutions on Azure . You provide technical leadership to teams in implementing best practices and MLOps, and work closely with clients to translate their business … suitable for junior candidates ). Azure Expertise: Deep hands-on knowledge of Azure data and AI services - including Azure Machine Learning, Azure Databricks, Azure Data Lake/Synapse, Azure Cognitive Services (Text, Vision, Speech), Azure … evaluate where it fits in a solution landscape. Certifications: Relevant certifications are a strong plus, demonstrating your expertise in Azure and AI. Examples include Microsoft Certified: Azure Solutions Architect Expert and Azure AI Engineer Associate (AI-102). Certification in machine learning frameworks or platforms (e.g. Databricks More ❯

As a Senior Microsoft Azure AI Engineer (m/w/d) Lead AI Solution Architecture , you're responsible for the end-to-end architecture of AI/ML solutions on Azure . You provide technical leadership to teams in implementing best practices and MLOps, and work closely with clients to translate their business … suitable for junior candidates ). Azure Expertise: Deep hands-on knowledge of Azure data and AI services - including Azure Machine Learning, Azure Databricks, Azure Data Lake/Synapse, Azure Cognitive Services (Text, Vision, Speech), Azure … evaluate where it fits in a solution landscape. Certifications: Relevant certifications are a strong plus, demonstrating your expertise in Azure and AI. Examples include Microsoft Certified: Azure Solutions Architect Expert and Azure AI Engineer Associate (AI-102). Certification in machine learning frameworks or platforms (e.g. Databricks More ❯

As a Senior Microsoft Azure AI Engineer (m/w/d) Lead AI Solution Architecture , you're responsible for the end-to-end architecture of AI/ML solutions on Azure . You provide technical leadership to teams in implementing best practices and MLOps, and work closely with clients to translate their business … suitable for junior candidates ). Azure Expertise: Deep hands-on knowledge of Azure data and AI services - including Azure Machine Learning, Azure Databricks, Azure Data Lake/Synapse, Azure Cognitive Services (Text, Vision, Speech), Azure … evaluate where it fits in a solution landscape. Certifications: Relevant certifications are a strong plus, demonstrating your expertise in Azure and AI. Examples include Microsoft Certified: Azure Solutions Architect Expert and Azure AI Engineer Associate (AI-102). Certification in machine learning frameworks or platforms (e.g. Databricks More ❯

Ready to take your ML skills from experiment to impact? Are you a Machine Learning Engineer who’s passionate about building real-world solutions that make a difference, not just proof-of-concept models gathering dust? You’ll be at the core of our machine learning operations, designing and deploying scalable pipelines … platform, and collaborating with data scientists and analysts to turn bold ideas into business value. You’ll own our Azure ML platform. Exciting right? Role: Machine Learning Engineer, ML Engineer, AI, AI Engineer, Artificial intelligence, ML Platform Engineer, AI Software Engineer Location: Hybrid – HQ is Paddington, Central London. We would love to see … awesome benefits! In regard to you...it would be great if you bring strong Python skills, experience with Azure ML, Docker, Git, and a passion for machine learning tools like scikit-learn, TensorFlow or PyTorch. Bonus points if you're curious about GenAI and know your way around SQL. If you're ready to More ❯

Ready to take your ML skills from experiment to impact? Are you a Machine Learning Engineer who’s passionate about building real-world solutions that make a difference, not just proof-of-concept models gathering dust? You’ll be at the core of our machine learning operations, designing and deploying scalable pipelines … platform, and collaborating with data scientists and analysts to turn bold ideas into business value. You’ll own our Azure ML platform. Exciting right? Role: Machine Learning Engineer, ML Engineer, AI, AI Engineer, Artificial intelligence, ML Platform Engineer, AI Software Engineer Location: Hybrid – HQ is Paddington, Central London. We would love to see … benefits! In regard to you…it would be great if you bring strong Python skills, experience with Azure ML, Docker, Git, and a passion for machine learning tools like scikit-learn, TensorFlow or PyTorch. Bonus points if you're curious about GenAI and know your way around SQL. If you're ready to More ❯

75.00 - 85.00/hr Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S. AI ML Engineer, CCaaS As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using machine learning (ML) techniques … makes you an integral part of delivering a customer-focused solution. Your technical knowledge and desire to problem-solve to support the next generation of systems. As a machine learning engineer on our team, you'll train, test, deploy, and maintain models that learn from data. In this role, you'll own and define the direction … of mission-critical solutions by applying best-fit ML algorithms and technologies. You'll be part of a large community of machine learning engineers across the company and collaborate with data engineers, data scientists, solutions architects, and subject matter experts to deliver world class solutions to process data and information to provide near real-time analysis. More ❯

Role Overview: 7+ years of expertise in developing and deploying machine learning models and AI solutions. Experienced in optimizing algorithms and integrating AI models into production systems. Skilled in applying advanced data science techniques to solve real-world problems, drive business impact, and improve decision-making. Adept at analyzing complex datasets, developing APIs, and leveraging AI … to enhance operational efficiency and deliver actionable insights. Technical Skills: Programming Languages: Python, OOPs, SQL Machine Learning Skills: Machine Learning, Deep Learning, NLP, Computer Vision, Data Preprocessing, Predictive Modelling, Model Evaluation, Feature Engineering, Exploratory Data Analysis, Transfer Learning, Computer Vision, Image Processing, Image Classification, Object Detection, YOLO v8 … Frameworks: Python (scikit-learn, pandas, NumPy), Keras, TensorFlow, Pyspark, Streamlit Data Visualization Tools: Matplotlib, Seaborn, Advanced Excel Cloud: S3, Lambda, API Gateway, EC2, Athena, Glue, OpenSearch, Bedrock, SageMaker, Azure Functions, Azure SQL, Azure ML Studio, GCP Vertex AI, GitHub Database: MySQL, Postgres, BigQuery Location: Preferred Sunnyvale/Bay Area; PST time More ❯

Campion Pickworth are working with a leading International professional services firm to recruit for Data Science and Machine Learning Manager to support the delivery of innovative analytics and machine learning solutions in a fast-paced, supportive environment. This is a unique opportunity to work on a wide range of high-impact data … shaping our data capabilities and delivering meaningful insights that support business-critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. … within cloud-based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. More ❯

/Lakehouse/Delta Lake/Data Warehousing/ETL/Azure/Azure Databricks/Python/SQL/ML/Machine Learning/AI/Artificial Intelligence/Based in the West Midlands/Solihull/Birmingham area, Permanent role, £50,000 70,000 + car/allowance … + bonus. One of our leading clients is looking to recruit a Data Engineer Azure/Python/ML/AI. Location Hybrid/West Midlands (Birmingham/Solihull) Permanent role Salary £50,000 70,000 + car/… allowance + bonus Experience: Experience in a Data Engineer/Data Engineering role Large and complex datasets Azure, Azure Databricks ML/Machine Learning/AI/Artificial Intelligence Microsoft SQL Server Lakehouse, Delta Lake Data Warehousing ETL Database Design Python/PySpark Azure Blob Storage Azure More ❯

Lead Machine Learning Engineer (m/f/d) - LLMs - Ramboll Tech At Ramboll Tech, we believe innovation thrives in diverse, supportive environments where everyone can contribute their best ideas. As a Lead Machine Learning Engineer, you will step up and take responsibility to create cutting-edge AI solutions that empower our … according to their needs and abilities. Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Experience: Minimum 5 years of experience implementing machine learning projects. At least 2 years in a senior or lead role. Demonstrated expertise integrating modern LLMs into production systems. Leadership skills: Proven leadership in driving technical … Tooling: Advanced Python proficiency and expertise with frameworks like PyTorch, TensorFlow, Hugging Face, or LangChain. MLOps and Deployment: Experience with containerization tools (Docker, Kubernetes) and workflow management tools (Azure ML Studio, MLFlow). Cloud and AI Infrastructure: Hands-on experience with (preferably Azure) Cloud environments for scalable AI deployment, monitoring, and optimization. Document Processing More ❯

analysis, and machine learning. Knowledge of vector database/indexes Skills in data pipeline creation, ETL processes, and working with large datasets. Experience working with Microsoft Azure services, including Azure Machine Learning, Azure Search Index, Azure Data Factory and Azure More ❯

and evolve the existing forecasting suite in collaboration with traders and market specialists. Work closely with developers and consultants in an agile, cross-functional environment. Apply cutting-edge machine learning techniques to improve forecasting accuracy and usability. Tech Environment Languages: Python, C#, front-end web technologies Infrastructure: Microsoft Azure Modelling Approaches: Machine learning, optimisation, stochastic and agent-based models About You Experience in the energy sector - markets, trading, forecasting, etc. Strong Python skills with machine learning frameworks (scikit-learn, TensorFlow, PyTorch). Knowledge of GitHub/Azure DevOps and SQL advantageous. Excellent communicator, able to explain technical concepts to non-technical More ❯

Job Title: Mid-Level Software Developer Job Location: Arlington VA 22201 Onsite Requirements: Must have Security Clearance Must have Azure Fundamentals Certification C#, .NET, JavaScript, node.JS, Angular, React Job Description: The Software Developer (Full Stack) is a key technical leader responsible for designing, developing, and maintaining scalable web applications across both front-end and back-end architectures. … knowledge bases, wikis, or developer onboarding materials. Explore and prototype emerging technologies for potential integration into future products. Responsibilities: Design, develop, and deploy cloud-native applications using Microsoft Azure services. Collaborate with product managers, architects, and other engineers to define technical requirements and deliver high-quality software. Implement best practices for application development, including security, scalability, and … Please do not apply if no US Citizenship). Microsoft AZ-900 Azure Fundamentals or any higher Azure Certification. Proficiency in Microsoft Azure services, including Azure App Service, Azure Functions, and Azure SQL Database. Proficiency with architecture and data modeling for applications More ❯

insights. From developing robust proof-of-concepts to deploying enterprise-grade solutions, you will apply your expertise in AI engineering, cloud platforms, and technologies such as Generative AI, Azure, Databricks to embed intelligence into critical audit workflows and products. You will mentor junior engineers, promote best practices, and foster a culture of collaboration, innovation, and continuous improvement. … RESTful API design, authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning, deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient … clear and accessible manner. Qualifications: Bachelor (preferably master or PhD) in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field. Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous - desirable Professional accounting qualification preferred, however not a requirement - desirable To discuss this or wider Technology roles with More ❯

insights. From developing robust proof-of-concepts to deploying enterprise-grade solutions, you will apply your expertise in AI engineering, cloud platforms, and technologies such as Generative AI, Azure, Databricks to embed intelligence into critical audit workflows and products. You will mentor junior engineers, promote best practices, and foster a culture of collaboration, innovation, and continuous improvement. … RESTful API design, authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning, deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient … clear and accessible manner. Qualifications: Bachelor (preferably master or PhD) in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field. Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous - desirable Professional accounting qualification preferred, however not a requirement - desirable To discuss this or wider Technology roles with More ❯

insights. From developing robust proof-of-concepts to deploying enterprise-grade solutions, you will apply your expertise in AI engineering, cloud platforms, and technologies such as Generative AI, Azure, Databricks to embed intelligence into critical audit workflows and products. You will mentor junior engineers, promote best practices, and foster a culture of collaboration, innovation, and continuous improvement. … RESTful API design, authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning, deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient … clear and accessible manner. Qualifications: Bachelor (preferably master or PhD) in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field. Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous - desirable Professional accounting qualification preferred, however not a requirement - desirable To discuss this or wider Technology roles with More ❯

insights. From developing robust proof-of-concepts to deploying enterprise-grade solutions, you will apply your expertise in AI engineering, cloud platforms, and technologies such as Generative AI, Azure, Databricks to embed intelligence into critical audit workflows and products. You will mentor junior engineers, promote best practices, and foster a culture of collaboration, innovation, and continuous improvement. … RESTful API design, authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning, deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient … clear and accessible manner. Qualifications: Bachelor (preferably master or PhD) in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field. Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous - desirable Professional accounting qualification preferred, however not a requirement - desirable To discuss this or wider Technology roles with More ❯

insights. From developing robust proof-of-concepts to deploying enterprise-grade solutions, you will apply your expertise in AI engineering, cloud platforms, and technologies such as Generative AI, Azure, Databricks to embed intelligence into critical audit workflows and products. You will mentor junior engineers, promote best practices, and foster a culture of collaboration, innovation, and continuous improvement. … RESTful API design, authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning, deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient … clear and accessible manner. Qualifications: Bachelor (preferably master or PhD) in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field. Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous - desirable Professional accounting qualification preferred, however not a requirement - desirable To discuss this or wider Technology roles with More ❯