151 to 175 of 268 Remote Azure Machine Learning Jobs

and build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. … the right fit for Deloitte landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG … privacy regulations Connect to your skills and professional experience A bachelor’s degree or higher in AI or equivalent. Experience in data science, machine learning, and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools More ❯

leveraging modern cloud services, and drive CI/CD & automation practices. The ideal candidate should have strong DevOps and AIOps experience, including deploying Azure infrastructure services following best practices, with a focus on containerisation, analytics, virtual networking, and serverless computing. Key Responsibilities/Accountabilities: Shape technical roadmaps … with cross-functional teams to align with enterprise architecture for Data Science & AI capabilities. Implement and manage secured, scalable, high-performance infrastructure on Azure supporting Data Science and AI tools. Automate infrastructure provisioning, configuration, and deployment, emphasizing CI/CD principles. Enhance CI/CD pipelines to … capabilities. Monitor system performance and implement proactive maintenance. Ensure security and compliance, focusing on vulnerability management and maintenance. Knowledge and Experience: Experience deploying Azure Infrastructure Services per best practices. Proficiency in scripting languages like JSON, Bicep, Yaml, Python, Terraform, Ansible, PowerShell. Understanding containerisation and serverless services (e.g. More ❯

and growing data team, reporting directly into the Head of Data and AI. The core of the role will be developing and deploying Machine Learning models, which will be integrated into various platforms including their website, to allow for better customer personalization and product recommendations. You … and scaling of your solutions within their data infrastructure. They work on an AWS tech stack, but are open to seeing candidates from Azure backgrounds too, as long as you have experience leveraging Databricks as this is a core part of their tech stack. This is a … a Data Scientist to make a tangible impact on a business that is investing in its data capabilities! Requirements Experience developing and deploying machine learning models Skills in Python, SQL, and ML frameworks such as TensorFlow, PyTorch, or scikit-learn Hands-on experience with Databricks (either More ❯

you will lead strategic data initiatives aimed at optimizing customer engagement, pricing, and inventory management across retail operations. Key Responsibilities: Develop and deploy machine learning models to support business objectives (e.g., customer segmentation, demand forecasting, price optimization). Conduct deep-dive analyses on customer behavior, sales … and data visualization tools (e.g., Power BI, Tableau). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in machine learning, statistical modeling, and predictive analytics. Excellent communication and stakeholder management skills. Desirable: Experience working with large-scale retail datasets (e.g., POS More ❯

analytics tools. Developing and enhancing data collection procedures to include information that is relevant for building analytic systems, utilising tools such as WhereScape, Azure Synapse, Snowflake, AWS Redshift. Monitoring performance and advising any necessary infrastructure changes, utilising BI tools such as Qlik Sense Cloud … Power BI, or Tableau, as well as the AI, ML, and NL tools available in Fabric. This includes leveraging Azure Machine Learning for predictive analytics. Preparing ad-hoc analysis and presenting results in a clear manner Work with stakeholders and business analysts to More ❯

architecture for our Data Science & AI capabilities. Responsible for the implementation and management of secured, highly scalable, performance efficient, modernised infrastructure across our Azure cloud platforms supporting our Data Science and AI toolset. Automate infrastructure provisioning, configuration, and deployment processes, with CI/CD principles a strong … improvements. Ensure Security and Compliance of our infrastructure and Solutions, including a focus on Vulnerability Management & Maintenance. Knowledge and Experience: Strong experience implementing Azure Infrastructure Services in accordance with best practises. Strong experience in automation leveraging scripting languages such as JSON, Bicep, Yaml, Python, Terraform, Ansible and … PowerShell. Proven understanding in Containerisation and Serverless computing services and practices (examples such as Docker, Azure AKS, ACI, AWS EKS and Lambda). Strong networking skills specifically in the use of securing data in the cloud. Experience in the deployment and support of Databricks, Azure More ❯

days per week in Moorgate Reference: 19148 Immediate contract for an experienced Data Scientist or Data Engineer with a strong background in Machine Learning (ML) or Artificial Intelligence (AI) to work on a project within a global Financial Services organisation within risk and security. Evaluating AI … e.g., MLflow, ModelOps platforms). Excellent communication and documentation skills for technical and non-technical stakeholders. Bachelor's or Master's degree in Machine Learning, AI, Computer Science, Statistics, Mathematics, or a related field. Preferred Qualifications Experience working in AI governance, security risk assessment, or regulated … AI frameworks or security standards (e.g., NIST AI RMF, ISO/IEC 23894). Familiarity with cloud-based ML platforms (e.g., AWS SageMaker, Azure ML, GCP AI Platform). Networking People (UK) is acting as an Employment Business in relation to this vacancy. More ❯

in Computer Science, Engineering, Data Science, or related field (or equivalent experience) Proven experience in designing Data & AI solutions Strong knowledge of Microsoft Azure (preferred: Microsoft Fabric, Azure Synapse, Azure ML) Hands-on experience in at least 3 of the following … areas : Semantic Layer & Data Modeling Data Warehousing & Engineering Real-time Data Pipelines Machine Learning & MLOps Generative AI/LLMs IoT Architecture Data Governance & Quality Management Familiarity with agile project methodologies and customer-facing roles ABOUT YOU ️ Proactive and solution-oriented with a strong client focus. Able More ❯

for the past 3 years, and a criminal record check (Disclosure and Barring Service). Your Role Seeking individuals with strong expertise in machine learning, GenAI, computer vision, and data science, combined with solution architecture and software engineering skills. Responsibilities include designing scalable solutions, collaborating with … articulating solutions clearly, leading teams, and representing Capgemini at conferences. Your Skills and Experience Proficiency in AI techniques such as supervised/unsupervised learning, GenAI, deep learning, graph analytics, NLP, and more. Excellent communication skills for client presentations and stakeholder management. Experience with data science platforms (e.g., Databricks, Dataiku, AzureML) and frameworks (e.g., TensorFlow, PyTorch). Experience deploying solutions on Cloud platforms (AWS, Azure, Google Cloud) and using provisioning tools like Terraform. More ❯

Kanban) Applying software design patterns Creative problem-solving for client challenges Experience in the following is a plus, but training will be provided: Machine Learning tools (Amazon, Azure ML, TensorFlow) Cloud deployment (AWS, Azure) Containerisation (Docker, Kubernetes) Database systems (relational More ❯

past 3 years, and a criminal record check (Disclosure and Barring Service). Your Role We seek individuals with strong technical knowledge in machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills. Your responsibilities include designing and building … value diversity and inclusion, creating an inclusive environment for everyone. Your Skills and Experience Proficiency in AI techniques such as supervised and unsupervised learning, GenAI, deep learning, graph analytics, NLP, sentiment analysis, etc. Excellent communication skills to present work compellingly to clients and manage stakeholder relationships. … winning work with private/public sector clients through RFI/RFP processes, bids, and presentations. Familiarity with data science platforms (e.g., Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g., Keras, TensorFlow, PyTorch, scikit-learn). Cloud experience in deploying solutions on AWS, Azure, or Google Cloud, including More ❯

is seeking a Subject Matter Expert (SME) and Instructor: AI Generalist to support content development, curriculum enhancement, and instruction for our industry-leading learning programs. This role involves working closely with learning designers, project teams, and functional experts to create, refine, and deliver high-quality educational … by case basis Pre-Sale Support: Participate in pre-sale meetings with GA Account Directors and prospective clients to discuss industry insights and learning solutions Prepare materials and insights to tailor GA's learning solutions to client needs. Fulfill action items such as creating sample materials … pre-sales process and conducting discovery related to course contextualization, optimization, tools, tech setups, and the like. Content Development: Curate, design, and contextualize learning content to align with industry needs and best practices. Collaborate with instructional designers and SMEs to develop a world-class curriculum, including lesson plans More ❯

is seeking a Subject Matter Expert (SME) and Instructor: AI Generalist to support content development, curriculum enhancement, and instruction for our industry-leading learning programs. This role involves working closely with learning designers, project teams, and functional experts to create, refine, and deliver high-quality educational … by case basis Pre-Sale Support: Participate in pre-sale meetings with GA Account Directors and prospective clients to discuss industry insights and learning solutions Prepare materials and insights to tailor GA’s learning solutions to client needs. Fulfill action items such as creating sample materials … pre-sales process and conducting discovery related to course contextualization, optimization, tools, tech setups, and the like. Content Development: Curate, design, and contextualize learning content to align with industry needs and best practices. Collaborate with instructional designers and SMEs to develop a world-class curriculum, including lesson plans More ❯

in languages like Python (preferred), Java, C++ Familiar with DevOps/CloudOps practices: TDD, CI/CD Desirable: Azure, NoSQL, machine learning, data engineering, data visualization Cultural Fit: Represent the firm professionally, uphold values and culture Entrepreneurial spirit and strong work ethic Maintain More ❯

you will own the AI discipline within Hypercube. That means setting best practice, evolving our technical guard‐rails, shaping packaged offerings and guiding learning pathways for every AI practitioner in the business. You’ll split your time roughly 40 % billable (hands‐on technical oversight) and 60 % leadership, R … guard‐rails and reference architectures; keep us ahead of the curve in GenAI, LLMOps and MLOps Practice Building - Design the end‐to‐end learning journey for AI engineers, data scientists, and machine learning engineers; mentor and line‐manage; lead hiring interviews for your discipline … tuning foundation‐model solutions; RAG patterns; prompt‐engineering & evaluation MLOps/LLMOps: CI/CD for models, feature stores, experiment tracking (MLflow, SageMaker, Azure ML, Vertex, etc.) Cloud‐Native Delivery: Building scalable AI pipelines on AWS or Azure; Terraform/IaC familiarity Python Excellence More ❯

About the Role Managing People Experience Level: Lead Skills: Node.js, Vue.js, PostgreSQL, Docker, Kubernetes, CI/CD, Azure, GCP, AWS, Machine Learning, AI & Data Strategy, LLM, APIs Employment Type: Full Time Locations to Work: Hybrid (Anywhere) Position Roles: Chief Technology Officer Who You … functional teams. B2B SaaS or sustainability experience is a plus. What the Job Involves Design and manage scalable cloud infrastructure (AWS, GCP, or Azure) to support rapid B2B growth and data sharing. Optimize DevOps practices to enhance CI/CD pipelines, automate workflows, and improve development efficiency. More ❯

in the UK’s most critical sectors? We’re looking for a talented and driven AI & Data Science professional with strong experience in machine learning, GenAI, data engineering, and solution design — combined with the technical know-how to architect and scale robust solutions across public and … and timely delivery Authoring thought leadership and representing the company at key events What You’ll Bring Strong background in ML, GenAI, deep learning, NLP, computer vision, and related fields Experience across cloud platforms (AWS … Azure, GCP), with DevOps/ML Ops tools (e.g. Terraform, Docker, Kubernetes) Expertise with data science platforms like Databricks, SageMaker, or AzureML Excellent stakeholder engagement and communication skills Proven experience managing teams and delivering complex projects Security Requirements You must be eligible for Developed Vetting (DV) clearance More ❯

and data science in the UK's most critical sectors? We're seeking a talented AI & Data Science professional with strong experience in machine learning, GenAI, data engineering, and solution design. The ideal candidate will have the technical expertise to architect and scale robust solutions across … and timely delivery. Authoring thought leadership and representing the company at key events. What You'll Bring Strong background in ML, GenAI, deep learning, NLP, computer vision, and related fields. Experience across cloud platforms (AWS, Azure, GCP), with DevOps/ML Ops tools (e.g., Terraform More ❯

Subject: Join the AI Revolution - Gen AI Solution Architect - Azure Specialist - London Hybrid Job Title: Generative AI Solution Architect - Azure Location: London Hybrid (SE1) - 1-2 days onsite Salary: £70,000 - £85,000 (Negotiable for exceptional candidates) Benefits: Flexible working, Well-being coaching & Professional … presence, pre-sales experience, and the ability to deliver scalable Azure-based AI solutions. You may have a background in Machine Learning, Data Architecture, or DevOps, and are looking to step into a highly visible, forward-facing architect role. You're passionate about … clients and internal teams to define and architect GenAI solutions. Lead pre-sales activities including discovery workshops, PoCs, and demos. Architect scalable, robust Azure AI/ML-based solutions. Support proposition development and contribute to technical thought leadership. (blogs, talks) Travel to client sites where required. (fully More ❯

that enhance business performance and operational excellence. Key Responsibilities AI Opportunity Mapping: Analyze existing business processes to identify areas where AI technologies (e.g., machine learning, natural language processing, predictive analytics) can be implemented to generate value. Requirements Gathering and Analysis: Collaborate with stakeholders to gather, document … transformation projects. Technical Skills: Proficiency in data analysis tools (Excel, SQL, Tableau, Power BI) and basic familiarity with AI/ML platforms (e.g., Azure ML, Google Vertex AI, or similar). Understanding of process mapping tools (Visio, Lucidchart) and SDLC methodologies (Agile, Waterfall). Strong analytical and More ❯

unspent criminal record check (known as Disclosure and Barring Service). Your role We are looking for technical knowledge in areas such as machine learning, GenAI, computer vision, and related fields, combined with solution architecture and software engineering skills. Your role will involve designing and building … in exploring other languages. You have experience deploying ML and AI solutions in production on cloud platforms, working with cross-functional teams. Experience with AzureML or SageMaker is highly valued. You possess strong communication skills and experience presenting to clients and managing stakeholders. What does 'Get The Future You Want … flexible working arrangements. UK employees can request flexible working options. You will be encouraged to explore, innovate, and progress, supported by Capgemini's 'learning for life' mindset, offering numerous training and development opportunities, including external certifications from AWS, Microsoft, Harvard ManageMentor, and cybersecurity qualifications. Why You Should Consider More ❯

history, and unspent criminal record check (Disclosure and Barring Service). Your role We are looking for technical knowledge in areas such as machine learning, GenAI, computer vision, and so on, combined with great solution architecture and software engineering skills, to design and build solutions deployable … and SQL, and interested in exploring other languages. You have experience deploying ML and AI solutions in production on cloud platforms, with familiarity in AzureML or SageMaker highly valued. You possess strong communication skills with proven experience presenting to clients and managing stakeholders. What does ‘Get The Future You Want More ❯

business continuity within financial services or regulated environments. Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, NLP, and AI algorithms. Knowledge of model lifecycle management: training, validation, deployment, and monitoring. Ability to assess and mitigate risks …/21, FCA PS21/3, DORA, NIST AI RMF). Experience with AI/ML platforms and monitoring tools such as MLflow, Azure ML, SageMaker, Databricks, Python. Excellent stakeholder management and communication skills. Desirable: Technical background in AI/ML, data science, or software engineering. Experience More ❯

continuity within financial services or a regulated environment. Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, natural language processing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and …/21, FCA PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring tools (e.g., MLflow, Azure ML, SageMaker, Databricks, Python etc). Excellent stakeholder management and communication skills. Technical background in AI/ML, data science, or software engineering More ❯

product innovations arising from emerging technologies and new customer use cases. Technology You'll Use Python, pandas, PyTorch, Databricks, Snowflake, AWS Bedrock, SageMaker, Azure ML, Google Vertex AI Your Role Responsibilities Research and develop expertise in product innovation areas including unstructured data management, AI governance, and protected … horizon. What We'd Like to See Strong technical expertise in data-related areas, including data preparation, model training, and performance evaluation for machine learning/AI. Passion for exploring and evaluating new data management and governance technologies, with the ability to compare approaches to find … Seaborn, with experience in data science and engineering. Experience with cloud service technologies and enterprise tools such as Databricks, Snowflake, AWS Bedrock, SageMaker, Azure ML, and Google Vertex AI. Role Essentials Postgraduate education in Science, Technology, Engineering, or Mathematics. BA/BS or equivalent, or relevant combination More ❯