101 to 125 of 1,299 Azure Jobs in London

statistical modelling, optimisation, or machine‐learning techniques. Experience building and operating backend systems and data pipelines in a cloud environment (e.g. AWS, GCP, or Azure). Experience validating, testing, and deploying quantitative or ML models. Comfortable working with high ownership in a small, senior team, partnering closely with Founders. ...

REQUIREMENTS: Strong software development experience in one of Java, Scala, or Python. Software development experience with data-processing platforms from vendors such as AWS, Azure, GCP, Databricks. Experience of developing substantial components for large-scale data processing solutions and deploying into a production environment. Proficient ...

Prefect or equivalent) Production experience with at least one major cloud warehouse/lakehouse (Snowflake, BigQuery, Redshift, Synapse, Databricks) Cloud platform experience (AWS, GCP, Azure) Solid data modelling foundations—dimensional modelling, slowly changing dimensions, Data Vault or domain-driven approaches CI/CD for data pipelines, version control discipline ...

Desirable Experience * Experience analysing customer acquisition, engagement, retention or commercial performance * Experience with Power BI, Tableau or Looker * Knowledge of cloud platforms such as Azure, AWS or Google Cloud Platform * Experience in education technology, digital learning, subscription services or a global organisation * Understanding of Agile delivery and digital product ...

analytical workflows. Hands‐on experience with machine learning frameworks such as scikit‐learn, TensorFlow, PyTorch, or similar. Strong experience with cloud platforms (AWS, Azure, or GCP) and building cloud‐native systems. Experience with modern data platforms such as Snowflake, BigQuery, or Databricks. Familiarity with Infrastructure as Code, microservices ...

train/evaluate AI systems or agents in production settings. Experience with AI infrastructure (model deployment, optimisation, data processing) and cloud platforms (AWS, Azure or GCP). Hands‐on experience with a range of AI concepts such as LLMs, VLMs, RAG, agents, MCP, computer vision, GraphML, recommendation systems ...

device binding/attestation, and experience in consolidating fragmented user identities into a unified identity model. Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and containerisation technologies (e.g., Docker, Kubernetes). Contributions to open-source projects or a personal portfolio demonstrating technical curiosity and skill. Experience with Domain ...

maintain, extend, and reuse across agreed assurance activities and defined initiative delivery outcomes.* Build automated checks and supporting utilities using dbt, SQL, Python, GitHub, Azure DevOps, and relevant cloud data platform tooling.* Integrate automated tests into CI/CD workflows to enable earlier detection of data quality issues.* Create ...

Strong understanding of Large Language Models, Generative AI, Retrieval‐Augmented Generation (RAG), AI agents, and enterprise AI architectures. Experience with cloud platforms including AWS, Azure, or Google Cloud Platform. Understanding of APIs, microservices, distributed systems, and enterprise integration patterns. Experience designing secure, scalable, and highly available enterprise solutions. Familiarity ...

e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark. Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP). Hands‐on expertise in designing and delivering complex proofs‐of‐concept (PoCs). Pre‐Sales & Customer‐Facing Skills: Proven ability ...

Computer Science or a related discipline. SAP S/4HANA Certification (Finance, Logistics or Solution Architecture preferred). TOGAF certification would be advantageous. AWS, Azure or Cloud Architecture certifications are desirable. Why Join DXC Technology? At DXC Technology, you'll work with some of the UK's most complex ...

skills, relationship-building capabilities, and adaptability across changing technical contexts. Preferred Knowledge-level & Certifications Associate-level cloud certifications (e.g., AWS Solutions Architect Associate or Azure AZ-104). At least one professional-level certification. Progressing toward or holding multiple professional certifications such as CKA (Certified Kubernetes Administrator ...

cloud‐based environment. Hands‐on experience with big data frameworks such as Spark or Databricks. Knowledge of cloud infrastructure (AWS, GCP, or Azure). Judgement to balance scalability, performance, and maintainability. Experience with data modelling and workflow orchestration. Bonus points for Experience in stream processing frameworks and event‐driven ...

maintaining data pipelines for continuous training, with a focus on reproducibility, dataset versioning, and efficient access Working knowledge of cloud platforms (AWS, GCP, or Azure) and modern MLOps tooling (e.g. MLflow, Weights & Biases, DVC, Airflow) Strong experience with Python and associated scientific software packages such as PyTorch, OpenCV, Pandas ...

systems with vector databases MLOps & deployment hands-on with Docker, Kubernetes, CI/CD pipelines, and infrastructure-as-code Cloud platforms experience with AWS, Azure, or GCP for ML workloads and infrastructure management Exceptional communication ability to explain complex AI concepts clearly to both technical and business stakeholders Customer ...

manipulation, and custom log parsing. Solid understanding of networking concepts (TCP/IP, firewalls, proxies, VPNs) and security protocols. Familiarity with cloud security principles, Azure, GCP, AWS Working knowledge over a range of operating systems and platforms including: Windows Server, Windows XP, UNIX (Solaris, Linux), Working knowledge of networks ...

between development and operations teams. Cloud Infrastructure and Containerisation Expertise: Must have: Expertise in one or more major public cloud providers (AWS, GCP, or Azure), encompassing network configuration, security best practices (IAM, security groups, etc.), compute services (EC2, GKE, ECS, etc.), and managed services (databases, queues, serverless functions). ...

engineering, retrieval‐augmented generation (RAG), orchestration, and data modeling. Experience designing full‐stack intelligent workflows. Cloud & Infrastructure Fluency: Deep hands‐on experience with AWS, Azure, or GCP, including use of containers, infrastructure‐as‐code (Terraform, CloudFormation), and enterprise integration patterns. Engineering Depth: Proficient in Python and SQL, with working ...

backend systems. Strong problem-solving skills and the ability to balance engineering rigor with delivery speed. Solid understanding of software architecture, cloud infrastructure (AWS, Azure, or GCP), and modern DevOps practices. Experience integrating machine learning models into production systems (e.g., LLMs via APIs, fine-tuning, RAG patterns, embeddings, agents ...

data infrastructure that supports them (data pipelines, model training environments, vector databases, LLMOps). Strong working knowledge of major cloud platforms (AWS, Azure, GCP) and cloud‐native patterns—Kubernetes, containers, serverless, IaC (Terraform/Pulumi), and multi‐cloud data governance. Fluency in modern infrastructure concepts: hybrid cloud architectures, software ...

product and make fixesDocument development phases and monitor systemsEnsure software is up to date with the latest technologies and standardsDeploy containerized products into Azure or AWS or other cloud environmentWhat You’ll Bring:Must haveBachelor’s Degree in Computer Science, Computer Engineering or equivalent degree. MS in Computer Science ...

backend systems.* Strong problem-solving skills and the ability to balance engineering rigor with delivery speed.* Solid understanding of software architecture, cloud infrastructure (AWS, Azure, or GCP), and modern DevOps practices.* Experience integrating machine learning models into production systems (e.g., LLMs via APIs, fine-tuning, RAG patterns, embeddings, agents ...

Ownership mindset – willingness to take initiative and drive issues to resolution Bonus Points Experience deploying and operating services across multiple cloud providers (AWS, GCP, Azure, OCI) Knowledge of data serialization formats (Avro, Protobuf, Parquet) and schema management Experience with observability platforms (Prometheus, Grafana, Datadog, Splunk) Understanding of data governance ...

formally trained by industry experts in consulting and client delivery; examples include Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework), technologies (AWS, Azure), Cybersecurity (CISSP, CISM), and TOGAF, which Capgemini’s own IAF contributes to. Capgemini Invent offers you the flexibility to develop various areas of knowledge ...

proactive functional enhancement to Incident, Problem, event and change management frameworks and practices* Proven extensive experience working within infrastructure environments and cloud platforms (AWS, Azure, Oracle), with a high-level understanding of platforms, operating systems, and technologies and software lifecycles* Strong analytical and problem-solving skills to analyse data ...