5,876 to 5,900 of 8,961 Permanent Digital & IT Jobs

your work in a high trust environmentThe technology stack you'll use will include: Go (Golang) or C++AWS/GCP/Azure/KubernetesKafkaGITCassandraDockerRedisWhat You'll Need: Degree in Computer Science (or professional experience in data structures/algorithms/distributed systems)Understanding scalability and distributed systems i.e. ...

Solutions Execute deployment strategies and provide technical guidance on containerization, performance monitoring, and production deployment. Consult on leveraging cloud platforms like AWS, Azure, and GCP to facilitate scalable model deployment. Partner with developers and engineers to deploy machine learning algorithms that drive measurable business value. Ensure Responsible ...

commonalities and drive re‐use of models and code across different parts of the organisation Understanding how to build data science capabilities on Azure and Databricks. We are fully committed to having a diverse and inclusive working environment, and are open to considering how the role might ...

commonalities and drive re‐use of models and code across different parts of the organisation Understanding how to build data science capabilities on Azure and Databricks. We are fully committed to having a diverse and inclusive working environment, and are open to considering how the role might ...

Finance. Oracle experience (DB, Fusion SaaS, ORMB or EPM) will be a plus. Experience in Architecture, design and delivery for Cloud (AWS, Azure, Oracle) and on-prem platforms including integrations to key services. Excellent understanding of data and data concepts for capturing and reporting data. Professional experience ...

OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts. Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies. Understanding of reverse ETL, real-time decisioning, and operational analytics use cases ...

OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts. Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies. Understanding of reverse ETL, real-time decisioning, and operational analytics use cases ...

also had experience in some of these, but if not we'll help you with themMachine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlowDeploying and managing in Cloud Computing such as AWS, MS AzureContainerisation e.g. Docker, KubernetesRelational, document, or graph database systemsSoftware configuration ...

quick-to-learn, and broad technical skills. Experience designing, building and launching full-stack workflows, and automations, leveraging REST APIs, iPaaS automation (Workato, Azure Functions, AWS Lambdas, ServiceNow Flow Designer), or generic scripting (e.g., Python, JavaScript, Golang, etc.). Proven ability to determine methods and procedures ...

live. Tech Stack Proficiency: Proficient in at least one modern language (e.g., Python, TypeScript, Java, Go) and comfortable working within cloud environments (AWS, Azure, or GCP). Pragmatic Mindset: You understand the balance between elegant code and delivering real value to users in a fast-moving startup environment. ...

AI. Desirable But Not Essential Qualifications Degree in Computer Science, Engineering, Physics, Electrical Engineering, Mathematics or related technical discipline or experience. TOGAF Certification. Azure Solutions Architect Certification. SAFe Architect Certification. What You'll Get A competitive salary between £70,000 – £87,000 dependent on capability As well ...

around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity ...

around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity ...

around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity ...

around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity ...

around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity ...

around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity ...

around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity ...

around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity ...

around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity ...

around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity ...

around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity ...

around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity ...

around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity ...

global scale Experience in operationalizing automation to support process efficiency Experience with SIEM technologies (i.e. Sentinel), cloud-based management and investigation consoles (i.e. Azure), and other Digital Forensics analysis tools Deep understanding of both Windows and Unix/Linux based operating systems, and adaptability to easily and quickly ...