776 to 800 of 1,242 Containerisation Jobs

like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps ...

like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps ...

like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps ...

like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps ...

like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps ...

like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps ...

like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps ...

like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps ...

like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps ...

like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps ...

like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps ...

requiring high availability You have a good understanding of Infrastructure-as-Code (IaC) You have experience of building CI/CD pipelines You have Containerisation experience; they're using Nomad but Kubernetes or OpenShift experience is fine You have automation skills and a deep understanding of computer hardware, networks ...

requiring high availability You have a good understanding of Infrastructure-as-Code (IaC) You have experience of building CI/CD pipelines You have Containerisation experience; they're using Nomad but Kubernetes or OpenShift experience is fine You have automation skills and a deep understanding of computer hardware, networks ...

with technical insights or analysing engineering/AI/ICT domains • Familiarity with DevOps and CI/CD pipelines • Knowledge of cloud platforms and containerisation technologies (Docker, Kubernetes) • Additional language skills are a plus ...

with technical insights or analysing engineering/AI/ICT domains • Familiarity with DevOps and CI/CD pipelines • Knowledge of cloud platforms and containerisation technologies (Docker, Kubernetes) • Additional language skills are a plus ...

with technical insights or analysing engineering/AI/ICT domains • Familiarity with DevOps and CI/CD pipelines • Knowledge of cloud platforms and containerisation technologies (Docker, Kubernetes) • Additional language skills are a plus ...

libraries, and deliver actionable insights. Visualise results and tell stories through dashboards (Tableau/Power BI). Operationalise models using MLOps, version control, containerisation, and cloud platforms. Support proposals, roadmaps, partner evaluations, and proof‐of‐concepts. Advocate for responsible AI practices and compliance. Who You Are Required: BSc/ ...

libraries, and deliver actionable insights. Visualise results and tell stories through dashboards (Tableau/Power BI). Operationalise models using MLOps, version control, containerisation, and cloud platforms. Support proposals, roadmaps, partner evaluations, and proof‐of‐concepts. Advocate for responsible AI practices and compliance. Who You Are Required: BSc/ ...

Have Knowledge of FinOps principles and cloud cost optimisation Experience with orchestration tools such as Azure Data Factory, Databricks Workflows, or Airflow Exposure to containerisation tools (Kubernetes, Docker) Experience with data cataloguing tools Familiarity with unit testing in data pipelines Awareness of MLOps practices ...

Computer Science, Engineering, or related field. Preferred Skills SQL and relational database design experience. Exposure to quantitative finance or trading environments. Familiarity with containerisation and orchestration (Docker, Kubernetes). What We Offer Competitive compensation and performance-based bonus. Hybrid working model: 2 days per week on-site in London. Opportunity ...

agentic workflows Experience with vector databases (Pinecone, Weaviate, pgvector) for RAG applications Experience with feature stores (Feast, AWS Feature Store) Experience with containerisation (Docker) and orchestration (Kubernetes, ECS) Familiarity with Infrastructure as Code (Terraform, CloudFormation) Experience with data processing frameworks (Spark, Dask) for large-scale workloads Understanding of data governance ...

pipelines. Experience with ML/LLMOps for monitoring, evaluation, and traceability. Solid understanding of distributed systems , microservices, and real-time data processing. Comfortable with containerisation and cloud infrastructure (Docker, AWS, Terraform, etc.). Experience deploying production AI systems with a strong focus on reliability and safety. Background in NLP, information ...

Storage, Networking, and Security). Familiarity with PowerShell, Azure CLI, or scripting languages is a plus. Knowledge of DevOps concepts, CI/CD, and containerization (Docker, Kubernetes) is advantageous. Strong analytical, troubleshooting, and problem-solving skills. Excellent communication and collaboration abilities. What We Offer Pre job Industrial Training to prepare ...

pipelines. Experience with ML/LLMOps for monitoring, evaluation, and traceability. Solid understanding of distributed systems , microservices, and real-time data processing. Comfortable with containerisation and cloud infrastructure (Docker, AWS, Terraform, etc.). Experience deploying production AI systems with a strong focus on reliability and safety. Background in NLP, information ...

pipelines. Experience with ML/LLMOps for monitoring, evaluation, and traceability. Solid understanding of distributed systems , microservices, and real-time data processing. Comfortable with containerisation and cloud infrastructure (Docker, AWS, Terraform, etc.). Experience deploying production AI systems with a strong focus on reliability and safety. Background in NLP, information ...