Tech jobs
Job listings
AI/ML Engineer Speech, RAG & Fine-Tuning
Build and deploy speech-to-speech pipelines, fine-tune LLMs (LLaMA 2/3), and implement RAG systems using open-source tools like Whisper, Coqui, and Hugging Face.
Junior AI Engineer — On-Site, AI/ML Dev & Collaboration
Assists in building and deploying AI models, analyzing data, and collaborating with teams to implement features using Python and ML algorithms.
Senior Machine Learning Engineer
Build C++/Python frameworks and APIs to run Vision and Generative AI models efficiently on custom AI accelerators, optimizing performance and integrating with compiler/runtime teams.
DevOps Engineer (AI Platform)DevOps Engineer
Designs and maintains cloud infrastructure and CI/CD pipelines for AI platforms, automating deployments of AI/ML and Generative AI applications on Azure and AWS using Kubernetes, Terraform, and MLOps practices.
AI Platform Engineer – Scale Secure Data/ML Infra
Build and secure a scalable AI/ML platform on AWS SageMaker, EKS, and Azure DevOps to enable rapid healthcare model deployment and experimentation tracking.
Senior AI & Analytics Engineer - Data-Driven Impact
Design and deploy AI/ML systems and data pipelines to turn raw data into scalable, business-impacting insights for PwC clients.
Data Engineer | Up to 55k | Hybrid role
Builds and maintains ETL pipelines and data warehouses on GCP to feed AI-driven marketing systems, using Python, SQL, dbt, and Airbyte.
Principal AI Engineer
Principal AI Engineer builds and deploys AI systems for an education-tech suite, integrating LLMs, RAG, and agentic frameworks to power admissions assistants and internal tools while leading AI adoption across teams.
(AI) Solutions Architect
Leads the design and deployment of production-grade AI systems, including multi-agent workflows and RAG architectures, using GCP and MLOps/LLMOps pipelines.
(AI) Solutions Architect
Leads the design and deployment of production-grade AI systems, including multi-agent workflows and RAG architectures, using GCP and MLOps/LLMOps pipelines to scale genAI across global operations.
Machine Learning Engineer
Build and deploy PyTorch-based AI systems to model microbiome-drug interactions, leading cloud infrastructure, MLOps, and production model pipelines for a healthcare-focused AI startup.
Lead Machine Learning Engineer
Lead a team to deploy and monitor ML models using Kubeflow, TFX, and GCP, focusing on pipelines, CICD, and DevSecOps for enterprise clients.
Lead Data Scientist
Lead a team to design, build, and deploy end-to-end machine learning models that drive business decisions and optimisation in insurance, ensuring ethical AI and robust governance.
Machine Learning Engineer
Build and maintain scalable MLOps pipelines to deploy, monitor, and manage machine learning models in production using cloud platforms, CI/CD, and Kubernetes.
AI / Machine Learning Engineer
Build, evaluate, and deploy ML systems (PyTorch/TensorFlow) and LLMs in production using FastAPI/Triton/Ray, with MLOps and applied research responsibilities.
Software Engineer (Backend) Manchester, UK
Build and scale backend services for an AI-powered healthcare training platform, integrating Python/Java with cloud infrastructure and ML pipelines to support thousands of global users.
Data Scientist
Build, deploy, and monitor ML models in Python/SQL on AWS/Databricks, ensuring scalability and responsible AI practices.
Senior data engineer/analyst
Design and maintain scalable ETL pipelines, data warehouses, and real-time streaming solutions using SQL, Python, and cloud platforms like AWS/Azure/GCP.
Data Engineer (MLOps / Analytics Focus)
Builds and maintains scalable Databricks pipelines, deploys ML models via MLflow, and creates Power BI dashboards to support analytics and reporting in a data-driven environment.
Data engineer (mlops / analytics focus)
Build and maintain scalable data pipelines in Databricks, deploy ML models with MLflow, and create Power BI dashboards for analytics within an AI-focused product team.