19 of 19 Containerisation Jobs in the City of London

Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with ...

continuous improvement. FinTech Platform Development Build systems for payments, trading, risk, compliance, and data intelligence. DevOps & Cloud Collaborate on CI/CD pipelines, containerisation (Docker, Kubernetes), and cloud deployments (AWS/GCP/Azure). Data & API Strategy Oversee API design, data modelling, and integration with internal and external financial ...

threat modelling, authentication patterns, and observability Modern Development: Familiarity with languages such as Ruby, Python, or Java, alongside CI/CD, TDD, and containerisation Communication: Exceptional ability to simplify complex topics and build consensus across diverse groups Desirable Attributes Experience with enterprise ERP platforms (e.g., Oracle E‐Business Suite) Knowledge ...

database deployments, ensuring optimal performance, and mentoring junior engineers to support our applications. This position will play a vital role in ensuring my clients containerization initiatives succeed and support both MongoDB and PostgreSQL deployments. The ideal candidate will have experience in containerised MongoDB and PostgreSQL deployment under Kubernetes and Docker ...

following languages: Bash, Python, Java, C#, Rust, Excel VBA Solid Linux/network stack knowledge, as well as optimization/tuning Nice to haves Containerization (Docker/Kubernetes) in a production environment Monitoring tools in a production environment (Prometheus/Grafana/ELK stack/Splunk) IaC tooling (Terraform, Ansible ...

contribute to architectural decisions Experience mentoring and supporting other engineers Comfortable working independently whilst collaborating within highly technical teams Experience working with Docker and containerisation technologies Knowledge of cloud computing environments would be beneficial Experience with technologies such as JavaScript, Rust and C++ would be advantageous Strong understanding of software ...

/CD pipelines, Git workflows, automated testing, deployment and monitoring. Experience with Microsoft Azure, including AI services, Azure Functions, containers or Azure Container Apps. Containerisation experience with Docker, Kubernetes or similar technologies would be advantageous. Desirable Experience Experience in tax, finance, accounting, audit, legal, consulting or another regulated environment. Experience ...

Azure Databricks Generative AI/LLM frameworks Agentic AI tooling and orchestration frameworks LangChain/LangGraph PyTorch and ML libraries REST APIs Docker and containerisation CI/CD pipelines Git-based development workflows What we're looking for 4-6 years' experience within Software Engineering, AI Engineering, or Machine Learning ...

with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar). Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes). Experience connecting disparate business systems SaaS platforms, internal databases, and third-party APIs and making them work reliably. Strong debugging instincts ...

principles. Experience developing applications in Python. Experience with cloud and infrastructure technologies, particularly AWS, including services such as EC2, EKS and S3. Experience with containerisation and orchestration tools such as Docker and Kubernetes. Strong Linux experience. Experience working with distributed systems or globally distributed technology environments. DESIRABLE - SKILLS/EXPERIENCE ...

libraries: PyTorch, PySpark, scikit-learn, Hugging Face Transformers Proficiency in AI tooling: Azure ML, Databricks, MLflow, LangChain, LangGraph Proven experience with Git, unit testing, containerisation and agile methodologies (Jira, Confluence) Good knowledge of generative AI, machine learning, deep learning or NLP Strong communication skills able to explain technical concepts ...

Cribl Data Analytics Engineer Location: London (Hybrid 4 Days per Week Onsite) Contract Length: 12 Months Engagement: Inside IR35 Start Date: ASAP Overview We are supporting a leading financial services organisation in London seeking an ...

Top Tier Investment bank requires an experienced hands-on Java developer and technical architect with deep expertise in real-time third-party payments, high-throughput zero-downtime systems, and highly available, global-scale internet-facing ...

AWS Solution Architect (Senior Manager) Location: London (Hybrid) Level: Senior Manager Security Clearance Requirement: Please note that any offer of employment will be subject to successful BPSS and SC clearance. Applicants must have 5 years ...

Join an award-winning B2B consultancy at the forefront of enterprise AI, building and owning the cloud-native platform infrastructure that powers production-grade conversational and generative AI products at scale. The role This is ...

Data Architect/Principal Data Engineer (GCP) Contract: Initial 3 Months Location: Fully Remote Status: Outside IR35 We are looking for a highly experienced Data Architect/Principal Data Engineer with deep, hands-on GCP ...

We're looking for an AI Tech Lead for a cutting-edge startup organisation to based remotely on an initial contract basis with a view to becoming permanent as the project & product takes off paying ...

Key focus areas: Building scalable data pipelines using Apache Spark & Airflow Working within a cloud-based, containerised environment (Kubernetes) Contributing to a wider data platform modernisation programme Supporting both batch and streaming workloads Tech: Python ...

About Our Client Our client is an innovative AI-powered brand analytics platform that helps businesses understand their brand perception, competitive landscape, and market positioning through advanced AI-driven analysis. They leverage multiple Large Language ...