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Build and deploy ML models (regression, deep learning, LLMs) to power hotel-commerce features like demand forecasting and recommendations using Python, PySpark, and Databricks.
DevSecOps engineer who builds and secures Lepaya's AWS cloud platform for its learning product: Terraform infrastructure with security baked in, security scanning and policy-as-code in CI/CD, multi-account cloud security posture, and observability with Grafana/OpenTelemetry. Core stack: AWS, Terraform, GitHub Actions, Docker, Python/Bash.
An Agentic AI Architect in Ireland designs and delivers enterprise-grade AI solutions built on Claude/Anthropic APIs, RAG, agentic workflows, and cloud platforms (AWS, Azure, GCP). Day to day they lead architecture, proof-of-concepts, deployment, and governance with client stakeholders, using Python, SQL, and modern LLM/ML tooling, with some travel required.
We are seeking an experienced and hands on Tech Leader for our Machine Learning Team. This pivotal role involves the development of our ML framework and platform, develop Machine learning models and support our MLOps…
The Wow As a Machine Learning Engineer, you will play a pivotal role in designing, developing, and deploying advanced machine learning models that enhance our products and services. You will collaborate with…
Senior AI Engineer on Cellebrite's Corellium team building scalable, cloud-native AI/ML solutions on AWS for a digital-forensics investigation platform — developing ML workflows, real-time inference, and infrastructure using Python, TypeScript, SageMaker, Lambda, and Bedrock to turn forensic data into investigation leads.
Overview This role reports into Director/Sr. Manager within Technology GRC and is the technical builder behind the function's agentic AI transformation. The AI Data Engineer III designs, builds, and operates the…
What's the role? As a Lead AI/ML Engineer you will lead the design and development of production-grade machine learning models, pipelines, and services that power NDS HD Live Maps, ADAS and IVI maps including…
Responsibilities Develop data models, diagrams, flow charts, and other system engineering-related documentation to problem-solve, identify improvements, create standards, and facilitate cross-organizational…
Senior DevOps Engineer joining Isprox's Professional Services team for a tech-sector client in Madrid (hybrid, 1 day/week onsite): migrating workloads between AWS accounts, building CI/CD pipelines, and automating infrastructure with Terraform, CloudFormation, CDK and Ansible. Core stack is AWS (ECS/EKS, Aurora MySQL, Redshift), Python and Bash.
A Lead Data Engineer at technology consultancy Credera leads complex client data engineering delivery — building data platforms, pipelines (Spark/Python/SQL), and AI/ML foundations on AWS using DevOps and MLOps practices — while managing teams, mentoring engineers, and influencing senior stakeholders. Hybrid role based from UK offices with 3 days per week onsite.
Build AI-powered prototypes and full-stack systems for defense tech, integrating GenAI, computer vision, and distributed services across cloud and embedded platforms.
Data Engineer who owns and maintains all data pipelines feeding internal analytics for a client of Driven by Data, working 100% remotely in an Agile/JIRA setup with direct contact with business owners. Core stack: Python, SQL, PySpark, Airflow, AWS (S3, EMR, Step Functions, SageMaker), Snowflake, Jenkins, CloudWatch and Grafana.
Senior Engineering Manager leading Quince's MLOps team to build and scale the infrastructure powering production machine learning for its e-commerce business — model training, deployment, serving, and monitoring — on cloud-native tooling like AWS, Kubernetes, Terraform, SageMaker, and Kubeflow, while mentoring engineers and managing compute costs.
Builds predictive models, optimizes operations, and integrates analytics for government/public-sector projects using Python, AWS SageMaker, and SQL, with a focus on explainable AI and scalable solutions.
Senior Data Scientist builds, deploys, and optimizes ML models at scale using Python, Spark, and AWS, driving data-driven solutions from experimentation to production.
Own the design and deployment of AI-powered Accounts Payable solutions using Generative AI, Agentic AI, and LLM engineering to automate invoice processing and supplier workflows on EXL's Finance AI platform.
Designs and builds AWS-based data lakes and lakehouses, setting up ingestion pipelines, storage tiers, and governance while optimizing for cost and performance.
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