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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…
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.
About Affinity Affinity is pioneering new frontiers in AdTech: developing solutions that push past today’s limits and open new opportunities. We are a global AdTech company helping publishers discover better ways to…
Managing Data Engineer leading advanced analytics solutions at IBM Consulting UK, using Python, R, SQL, SPSS, and data manipulation tools to solve complex business problems for public and private sector clients.
Analyze and optimize ML inference performance (latency, memory, power) on Apple Silicon, working across the SW stack, low-level drivers, and HW debug involving CPU, GPU, and Neural Engine using Python/C++ and frameworks like PyTorch and MLX.
Build and optimize the Core ML Runtime and graph compilation system for on-device ML execution across Apple platforms, using C++/Swift, compiler stacks like MLIR/LLVM, and deep systems programming expertise.
Analyze and optimize on-device ML model performance (latency, memory, power) on Apple Silicon for iPhones and Macs, working with frameworks like PyTorch and MLX across CPU, GPU, and Neural Engine.
Lead the design and development of mission-critical, full-stack applications in a Python-based ML/Ops environment, integrating machine learning models into production systems while collaborating with cross-functional teams.
GenAI Developer building and deploying LLM-based applications, RAG solutions, and AI-powered microservices on AWS (Bedrock, SageMaker, Lambda, ECS/EKS).
Data Scientist building machine learning models and analyzing large datasets to drive decisions for government consulting clients, using Python ML libraries and visualization tools.
Leads a team to design and implement generative AI and data science solutions for enterprise clients, focusing on multi-agent systems, RAG, and MLOps using Python, Java, and cloud platforms.
Designs and implements generative AI and data science solutions for banking, insurance, and industrial clients, focusing on Python-based AI systems, MLOps, and cloud platforms.
Leads end-to-end delivery of enterprise AI/ML systems, including chatbots, agent-based workflows, and cloud-native platforms, using Python, cloud services, and MLOps practices.
Lead a team building enterprise AI/ML systems, from architecture to deployment, including chatbots, agent workflows, and cloud-native platforms using Python, cloud services, and MLOps tools.
Principal Fullstack AI/ML Consultant designs, builds, and deploys enterprise-grade AI systems including chatbots, agent-based workflows, and cloud-native platforms using Python, cloud services, and MLOps tools.
Product Manager owning the backlog and full lifecycle of a GenAI-powered CX product, leading agile ceremonies, collaborating with engineering/data science/UX teams, and using ML tools like PyTorch and Jira.
Build and deploy AI/ML solutions for enterprise clients, focusing on GenAI, LLMs, RAG, and cloud-based pipelines using PyTorch, TensorFlow, and Azure/AWS/GCP.
Analyze vehicle and customer data to derive insights for electric/hybrid vehicle development using AI/ML; process big data on scalable platforms and communicate findings to stakeholders.
AI Security & Risk Consultant securing AI/ML/LLM systems for banking and insurance clients, focusing on adversarial defense, model auditing, and AI governance frameworks.
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