About the Role We are seeking an experienced Senior Node.js/NestJS Engineer to support a series of digital initiatives for a fast-paced digital agency environment. This role is a client-facing consultancy position, requiring excellent communication skills, the More ❯
day | Outside IR35 Staff Software Engineer £600-£800/day Initial 6 Month Duration Outside IR35 Hybrid - Central London (3 days a week) Technical Environment - GO/Python, Kubernetes, Docker, Event-Driven, microservices architecture. We are partnered with a well-funded scale up in the BioTech sector who are developing software to support autonomous robotics. They are building cutting edge … platform. You’ll be a hands-on contributor who can move fluidly across the stack while also influencing architectural design. Experience building scalable software in Go (Golang), Python, Kubernetes, Docker, Event-Driven, microservices architecture. Ability to contribute in areas such as DevOps (Kubernetes) Experience building event-driven backend systems Experience building real-time or streaming systems, or systems with very More ❯
services Partner with Data Scientists to industrialise prototypes into production-ready applications Lead on observability, CI/CD automation, and monitoring for ML workflows Develop cloud-native infrastructure using Docker, Kubernetes, and Terraform Contribute to shared ML tooling and experimentation platforms Ensure best practices in model testing, rollback, and deployment hygiene Work across technical and compliance teams to ensure governance … Science, Mathematics, etc.) Strong Python coding skills for production systems Proven experience deploying models in real-world environments (API, batch, streaming) Familiarity with MLOps best practices and containerised deployments (Docker, Kubernetes) Experience working in cloud environments (AWS preferred; Terraform a bonus) Strong communication skills and interest in the latest ML/AI developments Comfortable in collaborative, cross-functional teams with More ❯
long-term stability and maintainability. Apply SOLID principles and appropriate design patterns to ensure scalable and maintainable architecture. Work with modern technologies including SciPy, NumPy, Pandas, SQL, cloud platforms, Docker, Kubernetes, and CI/CD tools. Collaborate with cross-functional teams (data science, consultants, development) across the Netherlands, UK, and US, with a focus on time zone overlap with NL … developing analytic and optimization solutions in a product environment. Valuable: Experience with marketing mix modeling, forecasting, or econometric/statistical modeling. Valuable: Familiarity with NumPy, Pandas, SQL, cloud platforms, Docker, Kubernetes, CI/CD tools. Excellent communication, teamwork, and problem-solving skills. What we offer The opportunity to shape the analytics engine that drives marketing decisions for global brands. Collaborate More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Hargreaves Lansdown
and modern UI/UX architecture . Comfortable guiding teams through design implementation , collaborating with product and design using tools like Figma . Familiar with cloud-native environments (AWS, Docker, Kubernetes) and observability tools like Prometheus and Grafana . Champions quality and security , embedding testing and scanning into development pipelines. Passionate about mentoring engineers , conducting code reviews , and fostering a …/Kotlin (Android) JavaScript/HTML/CSS Figma/Git Testing frameworks : Jest, Cypress, XCTest, Espresso CI/CD pipelines : GitHub Actions, CircleCI, Bitrise Cloud-native architecture : AWS, Docker, Kubernetes Observability tools Interview Process 3 Stage Interview Stage 1 - Discussion with our Hiring Manager (30mins): A chance to talk with our Hiring Manager in more detail about the role More ❯
Public Cloud (Azure, AWS, GCP) cloud-based security architectures. Define and lead external security testing (e.g ITHC) of solutions on the public cloud (Azure, AWS, GCP), cloud native platforms (Docker, Kubernetes, etc.), and Software as a Service (SaaS) solutions. Formulate HMG Information Assurance Risk Assessment and Risk Treatment Plans Establish security requirements for cloud-based solutions by evaluating business strategies … to design and review system/data architectures through the development of patterns and principles Working within environments utilising DevOps, DevSecOps, SRE, CI/CD, Infrastructure & Security as Code (Docker, Git, Terraform) Managing technical assessments of security related technologies, vulnerability assessments and penetration tools and techniques Enabling & informing risk-based decisions: Working with higher impact or more complex risks, advising More ❯
years of backend software engineering experience. Proficient in Python and/or JavaScript (Node.js). Experience with CI/CD tools (e.g. GitHub Actions, Azure Pipelines). Familiar with Docker and microservices architecture. Solid understanding of RESTful APIs. Bonus: Experience with AI/ML tools like Hugging Face, LangChain, or PyTorch. Tech Stack: Python/JavaScript (Node.js) Docker/Kubernetes More ❯
insights driven by cutting-edge data-science techniques and our valuable datasets. The most important parts of our stack: TypeScript React Express (Node) Event-driven processing (RabbitMQ) PostgreSQL Databases Docker Kubernetes Jenkins CI/CD Key Skills & Experience Expert-level programming with NodeJS (preferably TypeScript) Moderate-level programming with ReactJS Strong awareness of secure coding standards (e.g., OWASP, CWE). … Docker & Kubernetes SQL (preferably Postgres or Oracle) Skilled in identifying and refactoring anti-patterns and managing technical debt. Proficient in CI/CD practices and tooling (e.g., Jenkins). Strong background in test strategy and execution—from unit and integration tests to performance and regulatory testing. Responsibilities Design and build scalable applications and services, following best practices for code quality More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Fruition Group
Senior Go Developer will design, develop, and implement data-intensive applications across the full engineering lifecycle. You’ll architect and deliver microservices-based systems using Go (Golang), AWS, Kubernetes, Docker, and Kafka, working closely with cross-functional teams to build scalable, reliable, and resilient platforms. You’ll also play a key role in optimising system performance, improving reliability, and ensuring … knowledge sharing across the engineering function. Senior Go Developer – Key Requirements: Strong commercial experience in backend development Advanced skills in Go (Golang), with proven expertise in AWS, Kubernetes, and Docker End-to-end software engineering experience, including system design and architecture Background in complex, large-scale, data-driven applications Product-focused approach, ideally within fast-paced tech organisations (start-ups More ❯
Airflow or Apache Spark Collaborate with frontend/backend developers using Node.js or React Implement best practices in data modelling, ETL processes and performance optimisation Contribute to containerised deployments (Docker/Kubernetes) - experience in this area is desirable, not essential Operate within Agile teams and support DevOps practices What We're Looking For Proven experience as a Data Engineer in … complex environments Strong proficiency in PostgreSQL and either Airflow or Spark Solid understanding of Node.js or React for integration and tooling Familiarity with containerisation technologies (Docker/Kubernetes) is a plus Excellent communication and stakeholder engagement skills Experience working within or supplying to the public sector is highly advantageous Why Join? Contribute to meaningful projects that impact millions of UK More ❯
SR2 | Socially Responsible Recruitment | Certified B Corporation™
and optimise data storage solutions (Snowflake, BigQuery, Redshift, or Delta Lake) Automate and scale model training pipelines in close partnership with ML engineers Deploy, observe, and improve pipelines using Docker, Kubernetes, Terraform, or dbt Champion data reliability, scalability, and performance across the platform 🧩 The Tech Environment You’ll likely be working with some combination of: Languages: Python, Scala, Go Streaming … Kafka/Flink/Spark Structured Streaming Workflow orchestration: Airflow/Prefect/Dagster Data storage & processing: Snowflake/Detabricks/BigQuery/Redshift Infrastructure: Docker/Kubernetes/Terraform/dbt Monitoring: Prometheus/Grafana/OpenTelemetry Cloud: AWS/GCP/Azure 🌍 What They’re Looking For Proven experience building scalable data pipelines in real-time or near More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Hargreaves Lansdown
well-tested code , with a strong grasp of TDD/BDD practices. Comfortable designing and operating in both on-prem and cloud-native environments , with working knowledge of AWS , Docker , and Kubernetes . Advocates for observability and service health , using tools like Prometheus and Grafana to ensure reliability and performance. Champions quality and security , embedding testing and scanning into CI … hand. Your Technical Toolkit React/React Native/TypeScript Swift (iOS)/Kotlin (Android) JavaScript/HTML/CSS RDBMS (Oracle, Sybase)/NoSQL (Document DB) AWS/Docker/Kubernetes CI/CD pipelines : GitHub Actions, CircleCI, Bitrise Testing frameworks : Jest, Cypress, XCTest, Espresso Observability tools : Prometheus, Grafana Interview Process 3 Stage Interview Stage 1 - Discussion with our More ❯
City of London, London, United Kingdom Hybrid/Remote Options
SThree
SThree are pleased to announce we’re recruiting for a talented Head of IT Infrastructure, Operations and Security to join our team based in our fantastic office space located in London. As Head of IT Infrastructure, Operations & Security , you will More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Harrington Starr
Junior/Mid-Level DevOps Engineer – £50,000 - 75,000 Basic salary Industry: FinTech Essential: GCP experience Work from home policy: Hybrid - 4 days per week in the office for the first 3 months, then 3 days per week thereafter. More ❯
testing and deployment using Python based toolsets. • Managing model performance, drift monitoring and regular retraining workflows. • Creating infrastructure using Terraform or similar, ideally within Azure. • Maintaining containerised workloads using Docker and Kubernetes. • Supporting observability by putting in place clear logging, alerting and metrics for ML services. • Ensuring best practice for version control, experiment tracking and model registry. • Troubleshooting production issues … MLOps tools such as MLflow, Azure ML, Kubeflow or similar. • Strong background in CI and CD using GitHub Actions, Azure DevOps or similar. • Experience working in containerised environments using Docker and Kubernetes. • Clear understanding of how to support Data Scientists and engineering teams through the model lifecycle. Useful to have • Experience working on large scale data or ML projects. • Good More ❯
and working with a broad mix of technologies. Key Responsibilities Develop new system features using PHP (Laravel) and PostgreSQL. Support and enhance ERP/CRM platforms. Manage Linux systems, Docker environments, and Nginx servers. Oversee Git workflows and support CI/CD processes. Build and maintain RESTful APIs and modern web architecture. Support WordPress sites and full-stack troubleshooting. Handle … APIs and structured data paths. Required Skills 5+ years in software development with strong PHP (Laravel) and PostgreSQL background. Deep understanding of ERP/CRM systems. Expertise in Linux, Docker, Nginx, and Git workflows. Strong debugging skills and ability to work independently. Clear communicator, able to work with non-technical stakeholders. Knowledge of Microsoft Power Platform, PowerApps, and data migration More ❯
Software Engineer- Python- Data Science and Machine Learning Team The RJC Group is looking for an experienced Software Engineer to join a growing Data Science & Machine Learning team within a global energy and commodities company. This is a hands-on More ❯
production backends/services , with shipped work and clear ownership. Strong Python (FastAPI) and database skills ( PostgreSQL/MongoDB ); solid API design fundamentals. Familiarity with AWS serverless patterns and Docker for bespoke services; basic CI/CD concepts. Comfortable with Redis (caching/sessions) and common queue/messaging patterns. Startup mindset: high ownership, pace, ambiguity; willing to burn the … Anthropic), Gemini (Google); Amazon Nova Canvas (vision), Deepgram (audio). AI Dev Tools: LangChain or CrewAI (orchestration), MCP servers (integration), GitHub Copilot/Claude Code. Infrastructure: AWS (serverless functions), Docker (primarily for custom MCPs). Frontend (when needed): React/Next.js (for dashboards/admins, used selectively). Competencies & Behaviours Communicates clearly with technical and non-technical teammates. Takes ownership More ❯
Research Engineer (Data Infra/ML) London (Hybrid) Can you build & optimize distributed ML pipelines with Ray or Spark? Do you love speeding up cloud infra (Kubernetes, Docker, CI/CD)? Excited to build the data backbone for large-scale ML training? We're a tier 1 VC-backed start-up, developing hyper-realistic 3D simulations using AI. Our customers … include leading names in industries such as autonomous vehicles, drones and robotics. Role You’ll be hands-on improving CI/CD pipelines, speeding up Docker builds, and scaling scene processing on Ray. You’ll also: Build high-performance data pipelines for multimodal datasets (3D, video, sensor). Optimize distributed training and processing across Spark, Databricks, and Kubernetes. Work with More ❯
company using advanced Machine Learning (ML) and Natural Language Processing (NLP) to power next-generation products. Until now, our AI projects have relied on third-party engines deployed via Docker — but it’s time to take the next step. We’re ready to build our own in-house AI environment , giving us full control over our models, data, and innovation … build, and maintain an in-house AI environment (on-prem or hybrid cloud). Design MLOps workflows for training, deploying, and monitoring models. Integrate and manage containerized AI engines (Docker/Kubernetes). Establish best practices for model versioning, data pipelines, and reproducibility. Collaborate with ML and NLP researchers to optimize infrastructure for experimentation. Set up CI/CD pipelines More ❯
Cloud Editing Solutions Architect - (Post-Production) Full-Time Permanent Role Hybrid London Up to £110,000 + Annual bonus Shape the Future of Cloud-Based Post-Production Are you passionate about transforming the way media is created and delivered? We More ❯
