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DevOps Engineer at an online motor insurance company in Madrid, focused on building and operating reliable, scalable systems using AWS, Kubernetes, Python, and Infrastructure as Code (Pulumi).
The MLOps Engineer will manage machine learning workflows and infrastructure using tools like Azure ML, AWS SageMaker, MLflow, Docker, and Kubernetes. This is a remote role at a software development company with a 20-year history.
Machine Learning Engineer at NTT DATA in Peru, building and maintaining ML solutions using Python, GitHub Actions, and orchestration tools like Airflow within a large IT services consultancy.
The MLOps Engineer will build and maintain the data infrastructure and automation for an AI team, focusing on offline-capable environments and data pipeline management. The role involves managing Linux servers, containerization, and ML lifecycle tools like MLflow or DVC to support data workflows.
As a Senior Data Engineer Consultant, you will design and industrialize data platforms, build ETL/ELT pipelines, and manage large-scale data architectures using cloud technologies like AWS, GCP, or Azure. You will collaborate with data scientists and engineers to ensure data scalability and security while mentoring team members.
Niji is seeking a Data Engineer to develop and maintain robust data architectures and pipelines for large-scale client projects. The role involves ensuring data quality and utilizing modern Big Data and industrialization tools like Spark, Kubernetes, and Python.
MARSS Group is hiring a Data Engineer to design and manage on-premise data pipelines and architectures for diverse data types, including sensor and media data, with a focus on offline-first and edge-first capabilities.
JAKALA is seeking a Data Engineer to design and industrialize data platforms, manage data lifecycles, and build scalable pipelines in collaboration with data science and MLOps teams.
The Data Engineer will design and build complex, on-premise data pipelines from scratch to support AI applications, focusing on offline-first architectures and handling diverse data types like video and sensor data. The role requires strong Python and SQL skills to manage data ingestion, transformation, and storage on self-managed infrastructure.
Salary: £39,000 - 65,000 per year Requirements: Bachelors or Masters degree in Computer Engineering or a related field. At least 5 years of technical experience with a proven ability to take full ownership of…
Data Architect specializing in Microsoft Fabric—designing architecture, governance, OneLake, and Real-Time Intelligence solutions while integrating with the Azure data stack and Power BI, and influencing senior stakeholders in a consulting environment.
Data Architect role in Central London designing and delivering data solutions using the Azure data stack, with focus on data modelling across relational and dimensional models and performance optimisation of SQL Server and PostgreSQL databases.
Senior MLOps Engineer building and operating production ML systems, focusing on Python, ML frameworks, cloud platforms, Kubernetes, and CI/CD pipelines.
Salary: £62,000 - 102,000 per year Requirements: 15+ years of experience in technology, with deep hands-on expertise in generative AI and LLM engineering. Proven experience designing and deploying multi-agent…
Salary: £59,000 - 99,000 per year Requirements: Strong experience with TypeScript Deep knowledge of React Experience with Node.js Solid understanding of HTML and CSS Proven ability in UI/UX and graphical/web design…
The AI Engineer will develop and deploy AI solutions using Python, focusing on large language models, generative AI frameworks, and MLOps/LLMOps practices.
Data Governance & AI Consultant delivering governance policies, data quality frameworks, and AI assurance for UK Central Government and Defence programmes, with tools like Microsoft Purview, Azure ML, and Databricks.
The AI & Data Engineer will design scalable data architectures, develop generative AI solutions, and manage MLOps workflows. The role involves implementing RAG systems, vector databases, and graph databases while ensuring data privacy and quality.
The Data & AI Engineer / MLOps Engineer will lead the deployment and maintenance of AI solutions from research to production. The role involves collaborating with cross-functional teams using Python, PySpark, SQL, and AWS.
Backend engineer builds and maintains high-load, real-time ranking systems for an AI-first e-commerce search platform, using Python, cloud services, and MLOps tools.
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