11 of 11 MLOps Jobs in Scotland

engineering, fine-tuning, RAG) LangChain/LangGraph Agent frameworks Vector databases FastAPI/APIs AWS/Azure/GCP/Databricks CI/CD, MLOps/LLMOps What you'll bring: - Strong software or data engineering foundations - Experience delivering AI or AI-enabled solutions - Exposure to cloud and modern data ...

engineering, fine-tuning, RAG) · LangChain/LangGraph · Agent frameworks · Vector databases · FastAPI/APIs · AWS/Azure/GCP/Databricks · CI/CD, MLOps/LLMOps What you'll bring: - Strong software or data engineering foundations - Experience delivering AI or AI-enabled solutions - Exposure to cloud and modern data ...

analytics alongside AI solutions). Technical Scope Platform‐agnostic engineering mindset; able to work across varied client stacks. Experience with cloud AI services and MLOps/LLMOps (e.g., Azure AI Foundry, AWS SageMaker and/or Bedrock). Strong software engineering practices: Python, APIs, containerisation, CI/CD, IaC, testing ...

container orchestration (Kubernetes), service mesh, CI/CD, IaC, observability, and platform engineering Strong knowledge of real-time streaming (Kafka/Pulsar), batch analytics, MLOps, model governance, and responsible AI patterns Security and resiliency expertise: zero trust, secrets management, identity, encryption, chaos engineering, disaster recovery, and site reliability practices Integration ...

business impact. Experience with agentic telemetry, evaluation services, and orchestration of NLQ workflows.Demonstrated leadership working with engineers, data scientists, and AI practitioners.Familiarity with MLOps practices and AI pipelines.Hands-on experience building and maintaining user interfaces for NLQ and data exploration. ABOUT US J.P. Morgan is a global leader in financial ...

impact. Experience with agentic telemetry, evaluation services, and orchestration of NLQ workflows. Demonstrated leadership working with engineers, data scientists, and AI practitioners. Familiarity with MLOps practices and AI pipelines. Hands-on experience building and maintaining user interfaces for NLQ and data exploration. ABOUT US J.P. Morgan is a global leader ...

impact.\ NExperience with agentic telemetry, evaluation services, and orchestration of NLQ workflows.\ NDemonstrated leadership working with engineers, data scientists, and AI practitioners.\ NFamiliarity with MLOps practices and AI pipelines.\ NHands-on experience building and maintaining user interfaces for NLQ and data exploration.\ N\nABOUT US\nJ.P. Morgan is a global ...

container orchestration (Kubernetes), service mesh, CI/CD, IaC, observability, and platform engineering\ NStrong knowledge of real-time streaming (Kafka/Pulsar), batch analytics, MLOps, model governance, and responsible AI patterns\ NSecurity and resiliency expertise: zero trust, secrets management, identity, encryption, chaos engineering, disaster recovery, and site reliability practices\ NIntegration ...

driven systems Modern tools: Databricks, Snowflake, Kafka, dbt Cloud engineering maturity: CI/CD, Infrastructure as Code, DataOps, containers AI/ML enablement: Supporting MLOps and advanced analytics platforms Analytics expertise: BI tools and semantic data layers Certifications & frameworks: TOGAF, DAMA, cloud certifications #J-18808-Ljbffr ...

driven systems Modern tools: Databricks, Snowflake, Kafka, dbt Cloud engineering maturity: CI/CD, Infrastructure as Code, DataOps, containers AI/ML enablement: Supporting MLOps and advanced analytics platforms Analytics expertise: BI tools and semantic data layers Certifications & frameworks: TOGAF, DAMA, cloud certifications This role has been deemed Inside IR35 ...

supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into … prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design ...