51 to 75 of 177 Permanent Azure Machine Learning Jobs

will operate across the full lifecycle, from early discovery and requirement gathering through architecture design, hands-on delivery, and ongoing optimisation, using Microsoft Azure, Fabric, Power BI, and AI capabilities. As a trusted consultant, you will work closely with business and technical stakeholders, influence data and analytics … security, and compliance standards Stay up-to-date with AI innovations, advising clients on adoption and improvements Strong hands-on experience with Microsoft Azure data services (e.g. Azure Data Factory, Azure Synapse, Azure Data Lake, Azure ...

phases or proof‐of‐concept work. Support the design and delivery of Generative AI solutions, including RAG architectures, prompt engineering, and integration with Azure AI services (e.g., Azure OpenAI, Azure AI Search). Ensure robust MLOps practices are followed, including model … deployed solutions. Cloud platform experience, preferably Azure, including services such as Azure OpenAI, Azure Machine Learning, or Azure AI Search. Experience managing or leading technical delivery teams, with a track record of fostering ...

heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI).Job DescriptionWe are hiring a Lead Data Scientist to drive the technical delivery of our most demanding … scientists and AI engineers. This role is for a practitioner who is equally fluent in the rigour of traditional data science (statistical modelling, machine learning, experimentation) and the fast-moving world of large language models and agentic AI. You understand that the best solutions often combine ...

heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). Job Description We are hiring a Lead Data Scientist to drive the technical delivery of our most … scientists and AI engineers. This role is for a practitioner who is equally fluent in the rigour of traditional data science (statistical modelling, machine learning, experimentation) and the fast-moving world of large language models and agentic AI. You understand that the best solutions often combine ...

Senior Consultant to join a high-performing Analytics & Data Science team. This is an opportunity to work at the forefront of Data Science, Machine Learning, Cloud Technologies and Generative AI, helping major organisations unlock value from their data and solve complex business challenges. You'll collaborate … role in delivering innovative solutions across a diverse project portfolio What You’ll Do: Develop and deploy advanced analytics, data science, machine learning and agentic ai solutions across a variety of use cases Use technologies such as Python, R, Azure, Databricks, SQL, Power ...

available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Manchester Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism … outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/ ...

Work hands‐on with the Microsoft AI stack (Azure OpenAI, Azure AI Foundry, Azure Machine Learning, Cognitive Services) in real production builds, not just sandbox demos. Help shape delivery approaches, understanding when a use case genuinely needs … time, clients to explain what you’ve built, how it works, and the trade‐offs behind key technical decisions. Continuously push your own learning, picking up new parts of the stack as needed rather than staying fixed to one technology or layer.About the Candidate:Early‐career developer (graduate ...

will be responsible for building and maintaining the backend systems and web applications that support the development, testing, deployment, and scaling of our Machine Learning and LLM‐based tools, and for helping to transform these into robust, market‐ready products. We have ambitious plans to grow … negligence, and with a growing practice in family and private client. Fletchers was one of the first consumer law firms to deploy a machine learning tool for legal work (a decision support system for screening incoming cases, launched ...

challenges! It would be great if you also had experience in some of these, but if not well help you with them Machine Learning softwaree.g. Amazon and Azure machine learning, or Google'sTensorFlow Deploying and managing in Cloud Computing … dedicated Career Manager to help you develop your career and guide you on your journey through BAE Dont know a particular technology? Your learning and development is key to your future career and we provide a range of excellent training courses to enable you to upskill ...

reliably across the enterprise. This role sits within Aladdin Platform Engineering and focuses on the infrastructure and platform services required to support machine learning models, large language models (LLMs), and emerging AI capabilities in production. The successful candidate will work closely with AI Engineers, Data Scientists … strategies, lifecycle management, monitoring/observability, and Disaster Recovery Experience supporting LLMs, generative AI platforms, or model serving infrastructure. Experience supporting AI and machine learning workloads, with exposure to managed compute for model training and finetuning, experimentation over large datasets, and end to end MLOps pipeline ...

data integration and relational platforms* Proven experience designing highly available Hybrid and Multi-Cloud architectures (Azure & AWS).* AI & Machine Learning Exposure: Experience designing architectures that support AI/ML workloads, including integrating Large Language Models (LLMs), predictive analytics, and vector search into … NFRs) such as scalability, maintainability, performance, latency, and security.**AI Strategy & Adoption*** AI Architecture Roadmap: Lead the architectural design for integrating AI and Machine Learning capabilities (including Generative AI) into existing and new enterprise products.* AI Governance & Security: Establish secure guardrails, data privacy controls, and ethical ...

automating manual processes across the business, and you'll be working directly with underwriters and the actuarial team throughout. Stack is Python and Azure, with a strong emphasis on engineering and MLOps standards. There's also scope to bring generative AI into the roadmap. You'll coach … standard, with object oriented design, testing and code review as standard practice Models you've personally taken into production and supported in life Machine learning across the usual toolkit: scikit-learn, pandas, NumPy, statsmodels or similar MLOps and CI/CD in practice. Pipeline orchestration, model ...

Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field — or equivalent professional experience.· Strong knowledge of generative AI, machine learning, deep learning, natural language processing and other relevant AI fields.· Proven track record of designing, developing, and deploying AI systems … Jira and Confluence.· Exceptional leadership and communication skills, with the ability to convey complex technical concepts to diverse audiences.· Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous.· Professional accounting qualification preferred, however not a requirement.Why Audit at KPMG Audit ...

DescriptionCertificationsNVIDIA certifications (NCP-AI Infrastructure, or NVIDIA Deep Learning Institute credentials) — strongly preferred.Cloud AI/ML certification: AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate, or Google Professional Machine Learning Engineer — at least … equivalent demonstrable experience.Advanced degree (MS in CS/AI/ML or related) beneficial but not required given sufficient hands-on depth.Continuous, demonstrable learning in AI — publications, open-source contributions, conference speaking, or lab-based experimentation are all valued signals.Job RequirementsEnterprise Architect — Artificial IntelligenceAI/ML Infrastructure, Platform ...

DescriptionCertificationsNVIDIA certifications (NCP-AI Infrastructure, or NVIDIA Deep Learning Institute credentials) — strongly preferred. Cloud AI/ML certification: AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate, or Google Professional Machine Learning Engineer — at least … experience. Advanced degree (MS in CS/AI/ML or related) beneficial but not required given sufficient hands-on depth. Continuous, demonstrable learning in AI — publications, open-source contributions, conference speaking, or lab-based experimentation are all valued signals. Job RequirementsEnterprise Architect — Artificial IntelligenceAI/ML Infrastructure ...

easily simplify complex concepts for senior decision‐makers Strong technical command of modern cloud infrastructure (GCP, AWS, Azure) and machine learning concepts A "hacker mindset" with a strong engineering foundation: you are a creative problem‐solver who builds robust, scalable, and efficient scripts … cloud platform (GCP, AWS, or Azure), including data storage, compute, and deployment patterns common in ML workflows Solid understanding of machine learning concepts and the ML development lifecycle — from data preparation and annotation through model training, evaluation, and deployment Demonstrated ability to lead ...

knowledge representation, and agentic AI), ensuring reliable, scalable operation across a growing base of local authority clients. Deploy and manage ML models via Azure ML endpoints, batch endpoints, and AKS, enabling resilient, secure model hosting that accelerates client onboarding and ensures models remain performant and monitorable throughout … MLOps, Platform Engineering, or Infrastructure Engineering role supporting ML or data‐intensive systems. Strong programming skills and production experience in Python. Expertise in Azure‐native MLOps, including model endpoints, pipelines, registries, environments, and compute management. Clear evidence of practical experience across the following: Deploying, scaling, and troubleshooting ...

Hybrid Job Type: FTE We are seeking a highly experienced AI Consultant to design, implement, and drive enterprise-grade AI solutions on the Azure platform Microsoft AI Foundry. This role combines hands‐on experience, solution architecture, and technical leadership, with responsibility for guiding teams and proactively supporting … with Azure AI Search (vector and hybrid search), Azure AI Document Intelligence, and Azure Machine Learning. Ability to wire these services together into coherent, production‐ready architectures not just run individual demos. Understanding of Azure security ...

Technology Engineering senior leadership team, the Head of AI Engineering will lead the design, deployment, integration and continuous improvement of enterprise AI and machine learning capabilities, including ML platforms, generative AI, LLM services, feature pipelines and MLOps tooling. The role is responsible for establishing AI engineering … paced technology environment. Strong expertise in machine learning, MLOps, generative AI, LLMs, AI platforms and cloud technologies (e.g. Microsoft Azure AI/Azure ML). Proven experience implementing AI engineering standards, deployment automation, model monitoring and Responsible AI frameworks. Excellent ...

your field. Bright, appealing offices in a trendy Lisbon area , designed for productive and enjoyable workdays. Your tasks Provision, configure and harden Azure cloud environments for GenAI and agentic workloads Design and maintain infrastructure-as-code templates (Terraform, Bicep) for scalable, repeatable use case delivery Build … Develop and operate reusable infrastructure building blocks and platform services that accelerate agentic solution delivery across teams Your profile Hands-on experience with Azure cloud infrastructure: AKS, Azure OpenAI, Azure Foundry, Azure ML, Azure Container ...

runbook quality, and resilience patterns are consistently applied across services.People LeadershipLead and mentor a team of SRE engineers, fostering a culture of ownership, learning, and engineering excellence.Drive career development, performance management, and technical capability growth across the team.Collaborate with HR and Talent teams to build local hiring pipelines … including: Azure SQL, Cosmos DB, Application Gateway, Key Vault, Storage, DNS, Load Balancer, Virtual Machines, Azure Machine Learning, SentinelAWS Lambda, ECS, RDS, CloudWatchStrong understanding of SRE principles (SLOs, SLIs, error budgets, incident response).Hands-on experience with container orchestration (Kubernetes ...

quality, and resilience patterns are consistently applied across services. People LeadershipLead and mentor a team of SRE engineers, fostering a culture of ownership, learning, and engineering excellence. Drive career development, performance management, and technical capability growth across the team. Collaborate with HR and Talent teams to build local … including: Azure SQL, Cosmos DB, Application Gateway, Key Vault, Storage, DNS, Load Balancer, Virtual Machines, Azure Machine Learning, SentinelAWS Lambda, ECS, RDS, CloudWatchStrong understanding of SRE principles (SLOs, SLIs, error budgets, incident response).Hands-on experience with container orchestration (Kubernetes ...

/ranking quality, and knowledge graph aware retrieval while enforcing content rights and confidentiality.Key ResponsibilitiesML & LLM Engineering, Search and Recommendation EnginesAutomate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI) Maintain … MLOps platforms, shipping ML or search/GenAI systems to production. Strong Python, Java, and/or Scala engineering Experience with statistical analysis, machine learning theory and natural language processing Hands on experience with major cloud vendor solutions (AWS, Azure and/ ...

Engineer within the Workday Products at Kainos, you will bridge the gap between data science and software engineering to productionize AI and machine learning solutions. Working closely with data scientists, software engineers, and product teams, you will deliver robust, scalable AI solutions that enhance our Workday … technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders.Desirable Experience:BSc, MSc, or PhD in Computer Science, Machine Learning, Software Engineering, or a related field.Familiarity with Workday APIs, data structures, and integration patterns.Experience designing and implementing generative AI solutions using ...

Engineer within the Workday Products at Kainos, you will bridge the gap between data science and software engineering to productionize AI and machine learning solutions. Working closely with data scientists, software engineers, and product teams, you will deliver robust, scalable AI solutions that enhance our Workday … technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders.Desirable Experience:BSc, MSc, or PhD in Computer Science, Machine Learning, Software Engineering, or a related field.Familiarity with Workday APIs, data structures, and integration patterns.Experience designing and implementing generative AI solutions using ...