76 to 100 of 409 MLOps Jobs in London

analytics Delivering production agentic systems, including RAG pipelines, vector search, and agentic frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, and n8n DevSecOps & DevOps MLOps Infrastructure as Code Building a truly diverse, equitable, and inclusive workplace is an ongoing journey, and were excited to keep learning and growing together. We have ...

/CD pipelines. Practical data science experience building statistical and machine learning models, including feature engineering, hyperparameter tuning. Experience productionising ML and GenAI solutions (MLOps): deploying end-to-end model pipelines and establishing evaluation, benchmarking, and continuous monitoring frameworks. Experience leveraging GenAI technologies to build data solutions. Ability to communicate ...

Deep expertise in LLMs, RAG architectures, Prompt Engineering and Generative AI frameworks such as LangChain or LangGraph Hands‐on experience with Python, PyTorch, TensorFlow, MLOps/LLMOps and cloud platforms (Azure, AWS or GCP) Experience deploying AI solutions within government, defence, healthcare or other high‐assurance environments Strong understanding ...

Deep expertise in LLMs, RAG architectures, Prompt Engineering and Generative AI frameworks such as LangChain or LangGraph Hands-on experience with Python, PyTorch, TensorFlow, MLOps/LLMOps and cloud platforms (Azure, AWS or GCP) Experience deploying AI solutions within government, defence, healthcare or other high-assurance environments Strong understanding ...

development Familiarity with relational databases (e.g., Postgres) and AWS services such as S3, EKS, SageMaker, and Bedrock Practical experience with Kubernetes, EKS, Docker, Kafka, MLOps and LLMs #J-18808-Ljbffr ...

engineers, data scientists, and ML practitioners. Experience with AWS and infrastructure-as-code tools such as Terraform. Experience in multi-agent orchestration. Familiarity with MLOps practices, including CI/CD for ML, model monitoring, automated deployment, and ML pipelines. Experience with agentic telemetry and evaluation services. Experience in customising ...

others Build data pipelines and feature engineering jobs on Databricks to prepare payments data for model training and agent retrieval Contribute to the MLOps path for optimization and prediction models, including training jobs, automated tests, and promotion of model artefacts from development through UAT to production Write evaluations for agent ...

influence and advise executive stakeholders up to C-level Deep expertise in artificial intelligence, machine learning and generative AI applications with strong knowledge of MLOps and LLMOps lifecycles Advanced understanding of cloud-scale data platforms such as AWS, Azure, GCP or Databricks and data engineering best practices Knowledge of data ...

conversations - discovery, whiteboarding, architecture reviews Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics Strong presentation and demo skills - you will build and present a live solution during the interview Bachelor's or Master's degree ...

making pragmatic architectural trade-offs. Strong cloud experience, ideally within Azure. Experience deploying, monitoring and maintaining ML or LLM models in production. Familiarity with MLOps, LLMOps, evals, monitoring and lifecycle management. Hands-on experience orchestrating LLM workflows using frameworks such as LangChain. An interest in how agentic software development ...

experience with distributed computing with Apache SparkTM and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines ...

scraping) built for continuous updates rather than one-off pulls. Monitoring and alerting across models and infrastructure (CloudWatch, Prometheus/Grafana, Sentry or similar; MLOps). AI and ML integration: productionising models (embeddings, LLMs); orchestrating LLM and NLP pipelines; ETL for training and inference data. Fluency with Claude Code ...

internal stakeholders.** *Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices.** *Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment.** *Experience of appropriate version control and environment management (such as venvs or Docker).** *Experience of writing technical project ...

stakeholders. Experience with Semantic Kernel, LangChain, LangGraph, AutoGen, CrewAI, or similar frameworks. Experience with vector databases, RAG architectures, and enterprise search solutions. Experience with MLOps, CI/CD, DevSecOps, and model lifecycle management. Understanding of data governance, Responsible AI, GDPR, and AI regulatory requirements. Experience working in regulated or complex ...

architectures Practical experience with observability stacks (Grafana, Prometheus, OpenTelemetry) Experience with generative AI platforms: LLM hosting, LLM gateways (e.g.LiteLLM, Portkey, Kong AI Gateway), and MLOps/LLMOps practices for deploying and monitoring AI systems in production Strong stakeholder communication, translating architecture into business outcomes for senior stakeholders Preferred Skills ...

event-driven architectures.* Experience with Infrastructure as Code (e.g. CloudFormation, CDK, Terraform).* Any experience with MCP (Model Context Protocol) and/or MLOps (e.g. model deployment pipelines, monitoring and lifecycle management) is highly desirable.* Understanding of compliance requirement around SDLC, ITGC,ITAC.**Key Behavioural/Personality Traits**The Senior ...

familiarity or hands‐on experience with Salesforce CRM, Agentforce Studio, or Data Cloud (D360). Multi‐Modal & Advanced AI Frameworks: Experience with voice pipelines, MLOps, vector search, or custom model fine‐tuning. Location Based in London, UK (hybrid model). Education BS/MS in Computer Science, Artificial Intelligence, Engineering ...

retrieval systems Familiarity with scientific, biomedical, or scholarly datasets Experience with knowledge graphs, ontologies, or semantic enrichment systems Exposure to production ML systems and MLOps practices Academic or industry research experience in NLP, information retrieval, search, or generative AI Experience working in content-rich, knowledge-intensive, or highly regulated domains ...

rather than predictions aloneStrong Python skills, with the ability to write clean, modular, production-grade code, and a solid understanding of data engineering and MLOps principlesAbility to lead end-to-end ML projects, work independently in ambiguous problem spaces, and mentor junior team membersStrong collaboration and communication skills, with experience ...

open source, and helping customers achieve real outcomes. Nice to have Kubernetes, CUDA, TensorRT, ONNX, Jetson, or other edge accelerators. Experience with MLOps, model monitoring, CI/CD, or observability. Familiarity with AWS, Azure, GCP, serverless systems, or managed inference platforms. Experience integrating OpenAI or Anthropic APIs into customer tools. ...

third-party solutions to find opportunities for innovation and business value. Guide architectural decisions across AI platforms, model-serving infrastructure, data pipelines, and MLOps/LLMOps capabilities. Partner closely with Engineering teams to productionize AI solutions and drive operational excellence. Build, mentor, and lead high-performing teams of Data Scientists … native AI development using Azure AI Foundry, Azure Machine Learning, Azure OpenAI, Azure AI Search, AWS AI Services, and modern cloud architectures. Experience implementing MLOps and LLMOps practices, including CI/CD, model lifecycle management, governance, and production operations at scale. COLLABORATION & COMMUNICATION Ability to communicate complex technical concepts clearly ...

Familiarity with data storage systems (e.g., Postgres, OpenSearch) and AWS services such as S3, SageMaker, and Bedrock Practical experience with Kubernetes, EKS, Docker, Kafka, MLOps, Large Language Model Operations (LLMOps), Event Driven Systems. #J-18808-Ljbffr ...

testing, lineage and observability to ensure high-quality, trusted datasets. Support governance and privacy-conscious data handling. Collaboration & Enablement (10%) : Partner with Data Science, MLOps, Product and commercial teams to deliver production-ready data solutions. Support and mentor others while communicating clearly with stakeholders. What You'll Love About This ...

Azure preferred; AWS or GCP also considered) Strong programming skills in Python or similar languages commonly used in AI/ML Experience with LLMOps, MLOps, CI/CD for AI, Evaluation Driven Development and model monitoring in production Excellent communication and stakeholder management skills Experience supporting pre‐sales activities, including ...

maintaining machine learning models in production environments Proficiency in Python and relevant AI/ML libraries (e.g. scikit-learn, TensorFlow, PyTorch) Experience with MLOps practices and tools for managing the machine learning lifecycle Experience building and deploying Generative AI applications, including familiarity with LLMOps Exposure to cloud platforms (e.g. ...