26 to 50 of 102 MLflow Jobs in London

Azure OpenAI, AI Foundry or AI Search, with Docker and KubernetesUnderstanding of schema validation frameworks (e.g., JSON Schema, Pydantic) and MLOps tools such as MLflow or AirflowStrong communication ability to explain trade-offs around cost, latency and accuracy to technical and non-technical audiencesNice to haveExperience using Azure AI Foundry ...

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 ...

integration/fine-tuning (OpenAI, LLaMA, Cohere, etc.)Strong coding in Python and experience with frameworks/tools such as FastAPI, PyTorch/TensorFlow, MLflow;3-5+ years of experience in designing and developing scalable web applications using modern front-end frameworks such as React/TypeScript. Experience working ...

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 ...

.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 ...

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 ...

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 ...

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 ...

Pulumi. Proficiency with AWS and container technologies such as Docker and Kubernetes. Solid Python skills and familiarity with ML libraries and tooling (e.g., MLflow, pandas, scikit‐learn). A track record of owning and operating complex systems at scale. Strong communication skills with the ability to produce clear, technical documentation. ...

ability to write clear documentation and collaborate across engineering teams. Ecosystem Knowledge : Hands‐on experience supporting software delivery and MLOps tooling (e.g., Kubernetes, Kubeflow, MLflow, Triton, Docker, or SageMaker/Azure ML). Equal Opportunity Statement We are committed to fostering and promoting an inclusive professional environment ...

analytical programming and visualisation languages and libraries (SQL, python, matplotlib, etc.) as well as some of the supporting tools and platforms (e.g. git, MLFlow, Kubernetes, Kubeflow, Trino, AirFlow).A strong understanding of statistical concepts (hypothesis testing, sampling, probability distributions).Excellent communication and collaboration skills to effectively bridge the gap between ...

DevOps technologies and practices such as Docker, Terraform, CI/CD pipelines and infrastructure‐as‐code. Familiarity with MLOps tools and practices such as MLflow, Airflow, model monitoring, API monitoring, data validation, data drift detection, autoscaling and access management. Strong Python experience, with helpful knowledge of Spark or PySpark ...

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 infrastructure, NLP or large language models (such as fine ...

alongside DevOps technologies and practices such as Docker, Terraform, CI/CD pipelines and infrastructure-as-code.Familiarity with MLOps tools and practices such as MLflow, Airflow, model monitoring, API monitoring, data validation, data drift detection, autoscaling and access management.Strong Python experience, with helpful knowledge of Spark or PySpark for working ...

services (Entra ID, Key Vault, monitoring)Experience with data governance and engineering enablement tooling (e.g., Microsoft Purview, Databricks Unity Catalog, GitLab CI/CD, MLflow/MLOps and emerging LLMOps patterns). ...

functional teams to align data architecture with financial regulations (e.g., GDPR, Basel III, MiFID II). Drive adoption of Delta Lake , Apache Spark , and MLflow for advanced analytics and machine learning use cases. Provide technical leadership and mentoring to data engineers and analysts across financial domains such as risk, trading ...

insurance, mobile data, or behaviour modelling.Experience with cloud platforms (AWS), containerisation (Docker, Kubernetes), or data orchestration frameworks.Familiarity with our ML and tooling stack: MLflow for experiment tracking, DVC for data versioning, Streamlit for internal apps and demos.BenefitsWhat it’s like to work at ZegoAt Zego, we operate like a high ...

Distributed Training infrastructure (Multi-node GPU training, Kubernetes, vLLM).Familiarity with Deep Learning frameworks (PyTorch).Experience with MLOps tools and experiment tracking (e.g., ClearML, MLFlow, Weights & Biases).Research Fluency: Ability to read technical research papers and translate them into engineering requirements. You don't need to write the paper ...

with CI/CD, databases, infra-as-code Comfortable debugging production systems Nice to Have Security/compliance (SOC2, HIPAA) Exposure to AirFlow and MLFlow for scientific workflows MSC/PHD in Machine Learning Biotech/pharma experience Why Helical Live with top pharma High ownership, small team Work ...

with the Hugging Face ecosystemExperience with audio or speech models and frameworks.Experience building and maintaining end-to-end ML pipelines and MLOps tooling (e.g. MLflow, Weights & Biases, DVC, or similar).Strong Python skills; experience with Docker, CI/CD, and cloud platforms (Azure preferred)Practical experience designing agentic AI systems ...

constraints. Nice to Have Experience with GPU cluster management and ML training workloads (NVIDIA, CUDA, distributed training). Familiarity with MLOps tooling: Experiment tracking (MLflow, Weights & Biases). Workflow orchestration (Airflow, Prefect, Argo). Data versioning (DVC). Background in scientific computing or HPC environments. Prior experience at a deep ...

both within engineering organizations and on cross‐functional teams Experience with OpenAPI, FastAPI, or similar It’s a bonus if you have Experience with MLFlow, model versioning, and storage Familiarity with Databricks or similar platforms Experience supporting high‐volume, real‐time data products Automated testing and validation frameworks Experience designing ...

batch data extraction processes, particularly those built in Python and orchestrated using Airflow Understanding of machine learning tooling and lifecycle management, ideally including DVC, MLflow, Evidently AI, or equivalent platforms for experiment tracking, versioning, monitoring, and evaluation Ability to work effectively across a data ecosystem that uses a range ...

real-time deployment experience is a must. Technically proficient: You possess strong Python skills and a proven aptitude for experimentation tools like MLflow or DBX for A/B testing. Pragmatic and collaborative: You enjoy working in a bridge role, sharing expertise to help others deliver faster. Informed and refreshing ...