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Principal Engineer builds and scales AI-driven platforms and agentic systems for clients, guiding architecture and mentoring teams across diverse tech stacks.
Lead Software Engineer at a tech consultancy, leading client engagements from discovery to production across multiple languages and frameworks, with increasing focus on AI/ML and agentic systems.
Data Engineer owning and scaling tracking data infrastructure that captures millions of user events daily, building ELT pipelines with Python, SQL, Airflow, Snowflake, and AWS.
Salary: £? - ? per year Requirements: Strong understanding of enterprise network infrastructure, including routing, switching, wireless, and SD-WAN. Hands-on experience with Splunk for data ingestion, searches,…
Salary: £55,000 - 80,000 per year Requirements: Proven experience delivering data and analytics solutions within an IT environment. Strong Microsoft Azure experience, particularly Azure Data Factory, Databricks, and…
Salary: £90,000 - 100,000 per year Requirements: Proven experience as an AI Architect, Enterprise Architect or Machine Learning Architect delivering enterprise AI solutions. Strong experience designing end-to-end AI/ML…
This role involves designing and maintaining Python-based integrations and discovery agents for a network source-of-truth platform. The engineer will work in a backend-focused, AI-assisted environment to connect third-party network systems and controllers.
Staff Backend Engineer building PhysicsX's AI-driven simulation platform, working in Python and Go on Kubernetes-based infrastructure with event-driven messaging systems.
AI Engineer for a banking client project, building production-ready AI/ML models, data pipelines, and APIs using Python, cloud platforms, and Generative AI/LLM technologies.
Build and orchestrate scalable ETL/ELT workflows using Python, Airflow, and cloud data platforms like Snowflake and AWS.
The AI Solutions Engineer will develop, maintain, and scale AI-driven products and automation tools using Python, Node.js, and modern frontend frameworks. The role involves integrating LLMs, optimizing production code, and collaborating with cross-functional teams to improve user workflows and product adoption.
Build and maintain Nexxen’s internal AI platform, designing reusable AI capabilities, multi-agent systems, and production-grade AI services using Python, Kubernetes, and modern cloud-native tools.
Design, build, and operate a logging and data platform spanning on-premise, AWS, Azure, GCC, and hybrid environments for a government client, handling log ingestion, telemetry, data pipelines, and infrastructure as code.
Lead data engineering standards, best practices, and community enablement across a 270+ engineer guild at an insurance company, focusing on lakehouse/data platform technologies like Databricks and internal learning programs.
Designs and maintains scalable data pipelines on Azure, automating ingestion, cleansing, and transformation while ensuring data quality and security for an international project.
Builds and maintains data pipelines, architectures (Data Lakes/Warehouses), and ETL processes to ensure reliable, clean data delivery for decision-making, collaborating with data scientists and analysts.
Builds and maintains data pipelines to ingest, transform, and serve large-scale economic/industrial datasets for an AI system forecasting global business impacts.
Designs and optimizes scalable ETL/ELT and real-time Kafka pipelines in Snowflake for a cloud-based platform, ensuring data integrity and performance while collaborating with cross-functional teams.
Data Platform Engineer supporting and maintaining data pipelines, ETL/ELT processes, and data platform infrastructure using SQL, Apache Spark, Python/Scala, and AWS cloud services in a remote role based in Portugal.
Leads AWS data platform engineering, designing scalable cloud-native data pipelines and frameworks while mentoring teams and driving innovation in AWS services for enterprise-wide data initiatives.
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