126 to 150 of 530 MLOps Jobs in London

least oneDeep experience with distributed computing with Apache Spark and knowledge of Spark runtime internalsFamiliarity with CI/CD for production deploymentsWorking knowledge of MLOps, ML/AI models and AI APIsDesign and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/ ...

statistical methodologies, along with data extraction, manipulation and feature engineering techniquesExperience with Spark, agile delivery methods and CI/CD practicesFamiliarity with DevOps and MLOps tools and practices, such as Docker, Terraform and MLFlowConfidence influencing and communicating with stakeholders across technical and non-technical teamsIdeally, exposure to cloud infrastructure ...

along with data extraction, manipulation and feature engineering techniques Experience with Spark, agile delivery methods and CI/CD practices Familiarity with DevOps and MLOps tools and practices, such as Docker, Terraform and MLFlow Confidence influencing and communicating with stakeholders across technical and non-technical teams Ideally, exposure to cloud ...

exposure in media, or another enterprise vertical. Familiarity with AI safety, responsible AI frameworks, or enterprise AI governance. Familiarity with AI deployment infrastructure and MLOps tooling. #LI-EU Locations London Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion ...

problem‐solver at heart. Nice to Haves (but we can teach you): You've already worked with Rust in a production environment. Experience with MLOps, particularly the challenges of managing the lifecycle of models in a multi‐tenant, high‐availability system. Familiarity with building ML inference services, model serialization (e.g. ...

datasets (scientific, biomedical, or enterprise data) Familiarity with scientific ontologies and metadata standards (e.g., MeSH, UMLS, ORCID, CrossRef) Exposure to production ML systems and MLOps practices Familiarity with data visualization and analytical tooling (e.g., Tableau, Power BI, matplotlib, seaborn, or similar) to communicate insights effectively Experience with human ...

working with AWS-native data services and event-driven architecturesExperience building data products that support analytics, reporting, machine learning, or AI use casesKnowledge of MLOps, AI Engineering, Agentic AI, or Generative AI implementation patternsExperience leading distributed engineering teamsExperience establishing engineering standards, reusable frameworks, and community-of-practice initiativesKnowledge of data ...

ability to apply automation responsibly to real delivery and operational problems. You might come from data engineering, platform engineering, software engineering, SRE, analytics engineering, MLOps, or cloud infrastructure. What matters most is that you enjoy reducing toil, improving developer experience, and building secure, observable systems that other teams can depend ...

such as PostGres, Oracle DB or MySQLExperience working within a team, in an agile, iterative engineering environment.Experience deploying and managing machine learning model deployments (MLOps) on appropriate services. Examples include (but not limited to) Azure Machine Learning, AWS Sagemaker, Databricks or Snowflake.Experience using AI or Agentic techniques in application ...

Jira for managing tasks and sprint planning. Certifications in cloud technologies, such as AWS Certified Developer. Manage, host, and serve AI/ML models (MLOps), by ensuring their scalability, reliability, and performance in production environments. Location: Candidates based in Spain: flexible remote work, with availability to travel ...

controlled vocabularies, and metadata standards.Experience with NLP, entity extraction, entity linking, semantic enrichment, search, ranking, recommendation, or knowledge graph methods.Exposure to production ML systems, MLOps, data pipelines, and model monitoring.Work in a way that works for youWe promote a healthy work/life balance across the organization. We offer ...

experience.If you don't have demonstrable DDD, spec driven experience on your CV, you will be rejected. This is not an AI research or MLOps role. We're looking for software engineers who have demonstrable experience shipping production-grade AI-native applications and who use AI as part of both ...

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 we’re excited to keep learning and growing together. ...

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 we’re excited to keep learning and growing together. ...

datasets (scientific, biomedical, or enterprise data) Familiarity with scientific ontologies and metadata standards (e.g., MeSH, UMLS, ORCID, CrossRef) Exposure to production ML systems and MLOps practices Familiarity with data visualization and analytical tooling (e.g., Tableau, Power BI, matplotlib, seaborn, or similar) to communicate insights effectively Experience with human ...

Chambers & Partners is seeking a Senior DevOps Engineer to architect, scale, and secure our cloud infrastructure. You will drive IaC strategy, build robust GitOps practices, and own CI/CD pipelines in Azure DevOps, supporting ...

agreed requirements, delivery plans and quality standards.Support the deployment and operationalisation of AI systems, including model monitoring, performance optimisation, CI/CD and MLOps practices.Collaborate with solution architects, data scientists, business analysts and engineers to ensure AI solutions are integrated effectively into wider technology and business environments.Apply responsible AI, security … equivalent. Practical knowledge of Generative AI techniques, including large language models, prompt engineering, retrieval-augmented generation, model evaluation and responsible AI considerations. Understanding of MLOps and production AI practices, including CI/CD, model versioning, monitoring, automated testing, retraining and performance optimisation. Experience using cloud platforms and cloud-native ...

models, and 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 … cloud-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 & COMMUNICATIONAbility to communicate complex technical concepts clearly to technical ...

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 … 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 ...

Senior AI Engineer Location: London (Hybrid - 1 day per week in the office) Salary: £65,000 - £75,000 + Excellent Benefits Job Type: Permanent Please note: Applicants must have the right to work in the ...

tooling that bridge gaps across multiple Servicing teams; Implement software engineering practices including testing, CI/CD, monitoring, alerting, and disaster recovery; Develop MLOps capabilities with Terraform and AWS infrastructure; Support ML governance for hundreds of models; Build data engineering solutions for distributed processing at terabyte scale; Prove the value ...

language models including prompt engineering, fine-tuning and evaluation Practical experience with core Generative AI frameworks and agent-based AI frameworks Strong experience with MLOps and LLMOps tooling including model lifecycle management Proven deployment experience on major cloud platforms including AI and ML services Solid foundation in software engineering principles ...

practices, including testing, version control and code reviews. Exposure to cloud platforms, containerisation and modern deployment practices. Knowledge of CI/CD, DevOps or MLOps principles would be highly beneficial. Excellent communication skills and the ability to engage effectively with both technical and business stakeholders. Degree in a quantitative discipline ...

associated architecture patterns Experience designing and managing APIs including REST and GraphQL Strong understanding of microservices and serverless architectures Practical experience with DevOps and MLOps practices including CI/CD pipelines Knowledge of security frameworks, identity management and authentication standards Desirable Skills for the AI Solutions Architect: Experience with enterprise ...

artificial intelligence concepts.Excellent programming skills in Python.Demonstrated experience in building, validating, deploying, monitoring, and updating production ML and AI models.Hands-on experience with MLOps and AIOps infrastructure and tooling.Proficient in problem-solving and analytical reasoning.Exceptional communication and collaboration skills.Experience with ML frameworks such as TensorFlow, PyTorch, TensorRT, or ONNX.Experience with ...