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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.
Build and maintain compliance-focused data analytics solutions for a fintech company, using SQL, Python, and BI tools to automate risk monitoring and reporting.
Responsibilities Build and optimise the platform used by the data team to transform raw data into business insights. Build new data sources and pipelines that deliver key data and insights to the business, including…
The Senior DevOps Engineer will automate, deploy, and secure enterprise applications across hybrid Azure and on-premises environments. The role requires expertise in CI/CD, Infrastructure as Code, Kubernetes, and C#/.NET development support.
Lead end-to-end AI initiatives for Emirates Group, designing and deploying ML/AI solutions to improve operations and customer experiences using GenAI, LLMs and optimisation frameworks.
Build and own scalable, secure cloud infrastructure for a climate-tech startup using AWS, Kubernetes, and IaC, while enabling developers and data scientists.
Senior Data Scientist at a high-tech consultancy, developing and deploying ML models using Python, SQL, and cloud platforms (Azure/AWS/GCP) on international client projects.
Develops and deploys AI/ML models (including generative AI) end-to-end, from experimentation to production, collaborating with data and business teams.
Senior consultant deploying and industrializing machine learning models in production for large clients, working across data/feature engineering, MLOps, and model monitoring using Python, SQL, Spark, Scala, Dataiku, and AWS.
ML/Data Engineer building and industrializing AI/ML forecasting solutions for supply chain clients at a Paris-based consulting firm, using AWS (ECR/EKS), CI/CD pipelines, and MLOps practices.
Build and maintain on-prem data pipelines for AI workloads handling images, video, and time-series data in an offline-first, air-gapped environment.
Data Engineer building on-premise, air-gapped data pipelines from scratch for structured data, images, video, and sensor/time-series data using Python and SQL on self-managed bare-metal infrastructure.
Designs and maintains cloud-native DevOps pipelines, integrates AI agents into workflows, and ensures scalable, observable infrastructure for modern deployments.
Senior backend developer building AI capabilities platform with Python/FastAPI, focusing on MLOps pipelines, CI/CD, and GCP infrastructure for a leader in housing tech.
SeatGeek is looking for a Senior Machine Learning Engineer to design, build, and deploy production-ready ML systems for pricing, demand forecasting, and fraud detection. The role involves collaborating with cross-functional teams to maintain ML infrastructure using Python, AWS, and MLOps best practices.
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