51 to 75 of 102 Azure Machine Learning Jobs in the UK

Experience running technical design workshops with senior client stakeholders and multi-vendor delivery teams. __________________________________________ Certifications NVIDIA 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 one preferred. Kubernetes: CKA or CKAD — preferred. TOGAF 9/10 or equivalent enterprise architecture certification — beneficial. Adjacent Technical Skills (Beneficial, Not Required) Depth in the specialist area above is mandatory. Experience ...

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 ...

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 ...

resilience patterns are consistently applied across services. People Leadership – Lead 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 … including: Azure SQL, Cosmos DB, Application Gateway, Key Vault, Storage, DNS, Load Balancer, Virtual Machines, Azure Machine Learning, Sentinel; AWS Lambda, ECS, RDS, CloudWatch. Strong understanding of SRE principles (SLOs, SLIs, error budgets, incident response). Hands‐on experience with ...

insights.* Proven expertise in Databricks, Apache Spark, and data pipeline development and strong understanding of data warehousing concepts and practices.* Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks and Azure Data Factory.* Azure Data … data lakes on AWS S3 to store and process both structured and unstructured data sets* Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leveraging ML to develop predictive models and drive business insights.* Monitor and optimize data pipelines and infrastructure: Analyze ...

customers through workshops, training sessions, and documentation to empower them to effectively utilize, maintain, and reproduce the AI solutions you deliver. Maintain continuous learning and stay up‐to‐date with the rapidly evolving GenAI landscape, proactively seeking knowledge of new trends and technologies. Required Qualifications: Enterprise Application Development … including AI orchestration frameworks (e.g., LangChain, Llama Index, Haystack) and cloud provider AI offerings (e.g., AWS Bedrock, Vertex AI, Azure Machine Learning). Data Expertise : Strong foundation in data engineering, data analytics, or data science, with the ability to work effectively with various ...

from reactive, siloed systems to intelligent, autonomous and physically aware value chains. You will bring deep expertise in applied AI spanning data engineering, machine learning, computer vision, robotics integration or industrial IoT, combined with a strong appreciation for how physical supply chain, manufacturing and operations environments … executive level, and you build trust through both expertise and delivery track record. Experience: 10 to 15 years in data science, machine learning, AI engineering or related disciplines, with significant exposure to industrial, operational or supply chain environments through consulting, technology or industry roles. Physical ...

from reactive, siloed systems to intelligent, autonomous and physically aware value chains. You will bring deep expertise in applied AI spanning data engineering, machine learning, computer vision, robotics integration or industrial IoT, combined with a strong appreciation for how physical supply chain, manufacturing and operations environments … executive level, and you build trust through both expertise and delivery track record. Experience: 10 to 15 years in data science, machine learning, AI engineering or related disciplines, with significant exposure to industrial, operational or supply chain environments through consulting, technology or industry roles. Physical ...

from reactive, siloed systems to intelligent, autonomous and physically aware value chains. You will bring deep expertise in applied AI spanning data engineering, machine learning, computer vision, robotics integration or industrial IoT, combined with a strong appreciation for how physical supply chain, manufacturing and operations environments … executive level, and you build trust through both expertise and delivery track record. Experience: 10 to 15 years in data science, machine learning, AI engineering or related disciplines, with significant exposure to industrial, operational or supply chain environments through consulting, technology or industry roles. Physical ...

from reactive, siloed systems to intelligent, autonomous and physically aware value chains. You will bring deep expertise in applied AI spanning data engineering, machine learning, computer vision, robotics integration or industrial IoT, combined with a strong appreciation for how physical supply chain, manufacturing and operations environments … executive level, and you build trust through both expertise and delivery track record. Experience: 10 to 15 years in data science, machine learning, AI engineering or related disciplines, with significant exposure to industrial, operational or supply chain environments through consulting, technology or industry roles. Physical ...

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 ...

Ph.D. in Speech Science, Artificial Intelligence, Computational Linguistics, Mathematics, or a highly related quantitative field. Experience: 5+ years of industry experience in Machine Learning, Deep Learning, or Data Science, with at least 2 years specifically focused on Generative AI, NLP, or Speech domains. Speech … Experience with multimodal model architectures, including audio-text native models. Familiarity with cloud ML ecosystems such as AWS SageMaker, GCP Vertex AI, or Azure ML. #J-18808-Ljbffr ...

with relational databases such as SQL Server, Oracle Understanding of various data formats, including CSV, JSON, and XML Experience with cloud platforms, particularly Azure or AWS Strong storytelling and data visualisation skills, including scoping, designing, and delivering engaging client-facing insights using PowerPoint and sustainable dashboards using … processes, including unit, regression and integration testing, and producing high-quality analytical code that is traceable and repeatable Knowledge and experience of machine learning techniques, including supervised ML, unsupervised ML, and LLMs Experience with deployment tools and processes, such as Azure Data Factory ...

regulatory, data protection, sovereignty and responsible AI expectations, in collaboration with the Security business unit, Legal and Compliance To create and evolve learning and development programmes (in collaboration with other business units) ensuring co-workers are continuing to develop individually and in line with business objectives, including vendor … quality-minded, and commercially focused. Assist in the development of training and certification plans for the Integrated Technology business in collaboration with the Learning & Development department aligned with business growth plans, ensuring the team maintains currency across rapidly evolving data and AI technologies Contribute to the ongoing development ...

regulatory, data protection, sovereignty and responsible AI expectations, in collaboration with the Security business unit, Legal and Compliance To create and evolve learning and development programmes (in collaboration with other business units) ensuring co-workers are continuing to develop individually and in line with business objectives, including vendor … quality-minded, and commercially focused. Assist in the development of training and certification plans for the Integrated Technology business in collaboration with the Learning & Development department aligned with business growth plans, ensuring the team maintains currency across rapidly evolving data and AI technologies Contribute to the ongoing development ...

regulatory, data protection, sovereignty and responsible AI expectations, in collaboration with the Security business unit, Legal and Compliance To create and evolve learning and development programmes (in collaboration with other business units) ensuring co-workers are continuing to develop individually and in line with business objectives, including vendor … quality-minded, and commercially focused. Assist in the development of training and certification plans for the Integrated Technology business in collaboration with the Learning & Development department aligned with business growth plans, ensuring the team maintains currency across rapidly evolving data and AI technologies. Contribute to the ongoing development ...

/maintain code or infrastructure, as part of the lifecycle management of the Bank systems. Accountabilities & Responsibilities Assists in building AI solutions using Azure AI Services, Prompt Flow, and Azure AI Search (Vector Store). Writes clean, testable code and assists in peer code … degree in Computer Science, Data Science, Engineering, Mathematics or a related technical discipline. Previous experience working with Python.[RT1.1] Demonstrates foundational understanding of machine learning concepts, model lifecycle and data processing principles. Basic understanding of Software Development principles, including writing unit and integration tests. Demonstrates problem ...

Engineer## **About the Role****Lead AI Engineer** We’re seeking a Lead AI Engineer who can design, build, and operationalise advanced AI, Machine Learning, and Generative AI systems at enterprise scale. The focus of this role is to bridge the gap between AI prototypes and embedding … teams to execute complex requirements* Architecting and implementing Generative AI solutions, including RAG pipelines, agentic workflows, and orchestration of large language models across Azure, GCP, or AWS.* Embedding safety, evaluation, and assurance mechanisms across the AI lifecycle, ensuring solutions are ethical, explainable, and responsible.* Collaborating with Product ...

Java), frontend (React, Angular), APIs (REST/GraphQL) Machine Learning: Foundations of MLflow, Weights & Biases, LoRA, PEFT, SageMaker, Vertex AI, AzureML, Kubeflow, Airflow, Prefect, TorchServe, Triton, vLLM, SHAP, LIME, pandas, Spark, SQL LLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management … velocity for the whole org Product sensibility: Prioritize for user value, MVP iteration, and long‐term scale DevOps fluency: Experience deploying in AWS, Azure, or GCP with CI/CD, containers, and infra‐as‐code Field readiness: Able to travel up to 30% to embed onsite ...

Java), frontend (React, Angular), APIs (REST/GraphQL) Machine Learning: Foundations of MLflow, Weights & Biases, LoRA, PEFT, SageMaker, Vertex AI, AzureML, Kubeflow, Airflow, Prefect, TorchServe, Triton, vLLM, SHAP, LIME, pandas, Spark, SQL LLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management … velocity for the whole org Product sensibility: Prioritize for user value, MVP iteration, and long‐term scale DevOps fluency: Experience deploying in AWS, Azure, or GCP with CI/CD, containers, and infra‐as‐code Field readiness: Able to travel up to 30% to embed onsite ...

opportunity to own the architecture of an enterprise AI platform spanning Azure and AWS, supporting everything from traditional machine learning to Generative AI, LLMs, and emerging AI technologies. The business is looking for a technically strong architect to define the platform's direction … scalable, production-ready capabilities. Key Responsibilities of the AI Platform Architect Own the end-to-end architecture of an enterprise AI platform across Azure and AWS. Design capabilities for ML training, model hosting, MLOps and Generative AI. Define architecture patterns for LLMs, RAG, vector search and agent ...

problem solving. Desirable Experience designing solutions with user needs and service context in mind. Familiarity with Microsoft development tools e.g., Fabric/Azure ML, and DevOps. Understanding of risk-informed decision making. Experience of producing clear, auditable technical documentation. Experience within government, nuclear, defence, energy or other ...

Havant S.r.l. in Italia cerca un Machine Learning Engineer da inserire in un team per progetti AI avanzati. Lavorerai su modelli ML, pipeline end-to-end e integrazione in microservizi con API FastAPI. Richieste: almeno 5 anni di esperienza, Python e framework ML/DL, esperienza … Azure e Pydantic. Preferibile Docker/Kubernetes e CI/CD. Sede ibrida a Garbagnate Milanese con smart working parziale. #J-18808-Ljbffr ...

your priorities – work/life balance, career progression, sustainability, volunteering – you’ll find like-minded people driving change at Howden. Senior Platform Engineer - Azure Data & AI Platform The Role We are looking for senior platform engineers to build and operate our Azure-based data … Offer Actual flexibility: Remote‐first with occasional in‐office travel for workshops/planning. We care about outcomes, not seat time. Real learning budget: for conferences, training, certifications. We expect you to use it. Tooling: You'll get the equipment and licenses you need ...

Protect Group is seeking a Senior Data Scientist to lead pricing and machine learning initiatives in a hybrid Leeds setup. You will design dynamic pricing models, run experiments and push models into production, while partnering with commercial, finance and product teams. You’ll work on risk … modelling, agentic AI systems for refunds, and advanced experimentation, using Python, SQL and Azure ML in a collaborative environment. #J-18808-Ljbffr ...