26 to 50 of 131 MLflow Jobs in London

/ML pipelines from data preparation through to production. Working with technical and business stakeholders to deliver AI solutions. Desirable experience includes MLflow, MCP, Docker, Kubernetes, GitLab CI/CD and Azure Data Factory. What’s on offer Up to £82,000 salary Annual performance bonus 28 days' holiday plus ...

LangChain, LangGraph and AutoGen. Delivering production-ready GenAI applications for commercial teams within Trading & Supply. Building scalable AI workflows on Databricks using Mosaic AI, MLflow, Genie and AgentBricks. Applying DevOps best practices through CI/CD pipelines, GitHub workflows and automated testing. Designing evaluation frameworks to benchmark, test and improve ...

LangChain, LangGraph and AutoGen. Delivering production-ready GenAI applications for commercial teams within Trading & Supply. Building scalable AI workflows on Databricks using Mosaic AI, MLflow, Genie and AgentBricks. Applying DevOps best practices through CI/CD pipelines, GitHub workflows and automated testing. Designing evaluation frameworks to benchmark, test and improve ...

discipline (or equivalent experience) Nice to Have: Databricks certification or experience with the Databricks Platform Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow Background at a data/AI company, cloud provider, or technical consulting firm Interview Process Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live ...

discipline (or equivalent experience) Nice to Have: Databricks certification or experience with the Databricks Platform Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow Background at a data/AI company, cloud provider, or technical consulting firm Interview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live ...

Docker, Helm, KubeFlow, and service meshes (e.g., Istio). Hands-on experience with Terraform, Ansible, GitHub Actions, ArgoCD, or Jenkins. Experience with vLLM, Ray, MLflow, LangChain/LangSmith, DeepSpeed, or Hugging Face TGI. Solid background in AWS/GCP/Azure, Kubecost, and GPU cost optimisation techniques. Strong skills ...

engineering teams.Demonstrated experience with Generative AI and LLM deployment patterns.A proven history of reducing cloud spend on large-scale AI clusters.Experience with tools like MLflow, Kubeflow, LangSmith, or Phoenix.Expertise in AWS/GCP/Azure cost tools, Kubecost, or Cloudability.Extensive background of Kubernetes (K8s), Docker, and service meshes.Expert knowledge ...

.Advanced degree or certification in NLP, ML, or related fields.Familiarity with DevOps practices and tools.Hands-on experience with experimentation and model tracking tools (e.g., MLFlow, Weights & Biases).Demonstrable impact of technical solutions or projects on decision-makingExperience working in fast-paced, agile environments.Customer-facing experience, notably in understanding end user ...

Kubernetes (K8s), Docker, Helm, KubeFlow, and service meshes (e.g., Istio).Hands-on experience with Terraform, Ansible, GitHub Actions, ArgoCD, or Jenkins.Experience with vLLM, Ray, MLflow, LangChain/LangSmith, DeepSpeed, or Hugging Face TGI.Solid background in AWS/GCP/Azure, Kubecost, and GPU cost optimisation techniques.Strong skills in Python, Bash ...

integration methodsStrong experience with cloud environments, ideally Azure (Azure OpenAI, AI Foundry, AI Search)Competence in containerized deployments, CI/CD, and MLOps tooling (MLFlow, Airflow)Experience with Microsoft Agent Framework, Azure AI Agent ServiceKnowledge of vector databases (Pinecone, Weaviate, Qdrant, Milvus)Familiarity with guardrail and AI safety techniques (output ...

defend them under fire. Modern edge — strong Python/SQL/Scala, CI/CD for data platforms, and comfort integrating ML/AI (MLflow, LLM APIs like OpenAI and Anthropic) into what you build. Certified credibility — Databricks Data Engineer Professional/SA accreditations strongly preferred. Founder energy — curiosity, adaptability ...

Experience Hands-on experience with AWS services such as Lambda, ECS, S3, SageMaker or Bedrock Knowledge of ML engineering and MLOps practices (e.g. Docker, MLflow) Experience working in government, defence or other highly regulated environments Proven application of large language models (LLMs) to real-world problems Security Clearance This role ...

applied AIDesirable ExperienceHands-on experience with AWS services such as Lambda, ECS, S3, SageMaker or BedrockKnowledge of ML engineering and MLOps practices (e.g. Docker, MLflow)Experience working in government, defence or other highly regulated environmentsProven application of large language models (LLMs) to real-world problemsSecurity ClearanceThis role requires UK Security ...

Comfortable working with technical and non-technical stakeholders to deliver high-quality solutions. Even better if you have Databricks certifications. Experience with Unity Catalog, MLflow or Databricks Asset Bundles. Familiarity with dbt or similar data transformation frameworks. Exposure to Kafka, Event Hubs or other streaming technologies. Experience working with retail ...

Cybersecurity, AI/ML, or related field.Preferred QualificationsCertifications such as:CISSP, CISM, CCSPCertified AI Security (e.g., CAISP or similar)Experience with:MLOps platforms (e.g., MLflow, Kubeflow)AI red teaming and adversarial testingKnowledge of secure coding and DevSecOps practices.Familiarity with Responsible AI principles and ethical AI frameworks.Key SkillsAI/ML security ...

network isolation to meet security and compliance needs Operate Databricks Workflows, Delta Live Tables and orchestration integrations used by Data Scientists and Data Support MLflow, model serving and feature store usage for predictive modelling and GenAI work Monitor jobs, clusters and warehouses; lead incident response and post-incident reviews ...

following AI/ML frameworks: Huggingface, Torch, Tensforflow, Scikit-Learn, and SpacyExperience in of any of the following additional platforms related to MLOps: MLFlow, dbt, Docker, Kubernetes.Experience with working cloud environments such as AWSTechnical Concept RequirementsExperience in any of the following AI/ML topics within a work context: Natural ...

following AI/ML frameworks: Huggingface, Torch, Tensforflow, Scikit-Learn, and SpacyExperience in of any of the following additional platforms related to MLOps: MLFlow, dbt, Docker, Kubernetes.Experience with working cloud environments such as AWSTechnical Concept RequirementsExperience in any of the following AI/ML topics within a work context: Natural ...

following AI/ML frameworks: Huggingface, Torch, Tensforflow, Scikit-Learn, and Spacy* Experience in of any of the following additional platforms related to MLOps: MLFlow, dbt, Docker, Kubernetes.* Experience with working cloud environments such as AWSTechnical Concept Requirements* Experience in any of the following AI/ML topics within ...

/ML lifecycle ownership—training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMaker. Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference ...

/ML lifecycle ownership: training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMaker* Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference ...

/ML lifecycle ownership: training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMakerCloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure ...

experience. Highly Desirable Familiarity with OneTick, PostgreSQL, ClickHouse, Snowflake, Databricks, kdb+ or similar. Order book reconstruction Tick-to-bar aggregation Airflow, Dagster, Prefect or MLflow Experience supporting quantitative research or trading systems Multi-asset market data (Equities, Futures, FX, Options, ETFs, CFDs) What We're Looking For The successful candidate ...

modern machine learning and data science frameworks. Hands-on experience with large language models, generative AI, prompt engineering, and RAG architectures. Experience with Databricks, MLflow, Spark, and cloud-based AI platforms (Azure preferred). Strong understanding of MLOps, software engineering best practices, and production deployment pipelines. Experience leading technical teams ...

problem statements and propose solutions considering effort, impact, and scalability trade-offs; Nice to have: Apache Spark, Iceberg, Kafka, dbt, Scikit-Learn, XGBoost, PyTorch, MLFlow, GraphFrames, Ray, AWS S3, EMR, SageMaker, Lakeformation, Terraform, Docker, GitHub CI/CD, Knowledge Graphs, RAG, graph ML, probabilistic programming, A/B testing. Условия ...