1 to 25 of 35 MLflow Jobs in the UK

pipelines Containerization (Docker, Kubernetes desirable) Model packaging and REST APIs Cloud & Tools (Any combination) AWS/Azure/GCP analytics and ML services MLflow, Azure ML, SageMaker, Vertex AI Version control (Git) Domain & Soft Skills Strong analytical and problem solving skills Ability to explain complex data science concepts in simple ...

etc.) Experience with LLMs/GenAI frameworks (LangChain, RAG, prompt engineering, etc.) Experience in cloud (AWS/Azure/GCP) Experience in MLOps tools (MLflow, Kubeflow, SageMaker, Azure ML, etc.) API development experience ...

pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc. Knowledge of Langchain, huggingface and LLM offerings by 3rd party vendors. Knowledge of OO programming and software design, i.e., SOLID principles. Knowledge ...

services (e.g. S3, Lambda, SageMaker) Understanding of core ML concepts: model evaluation, validation, and experimentation Familiarity with MLOps or experiment tracking tools (e.g. MLflow, Weights & Biases) Awareness of LLMs or generative AI concepts Strong problem-solving ability and willingness to learn in a fast-paced environment Ability to communicate technical ...

LangChain and LangSmith/LangFuse Supervised fine-tuning or lightweight tuning (LoRA, PEFT) RAG evaluation techniques and model feedback loops MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes) · Familiarity with: AgentOps concepts (agent evaluation, monitoring) Basic telemetry/observability workflows (OpenTelemetry) Understanding of how domain-specific datasets influence AI behavior. ...

Environment Python, Java Cloud platforms AWS Containerisation and infrastructure-as-code tools Relational and non-relational databases Amazon Bedrock, Sagemaker, Vertex AI Datadog, Databricks, MLFlow, Grafana, OTel Claude, Gemini, ChatGPT, open-weight LLM models Terraform, Docker, K8s RMDBs, Graph DBs, Vector DBs Claude Code Github (and Github actions) Benefits Competitive ...

responsible AI, and regulatory compliance, particularly within regulated or sensitive environments. Experience selecting and evaluating AI platforms, frameworks, and tooling (e.g. Python, TensorFlow, PyTorch, MLflow, Kubeflow, etc.). Ability to define and implement model performance monitoring, drift detection, and continuous improvement approaches. Experience working within secure or regulated environments (e.g. ...

learn, XGBoost, PyTorch, or TensorFlow Strong experience with cloud-based ML deployment (e.g., AWS SageMaker, Lambda, S3) Knowledge of MLOps/LLMOps tooling (e.g., MLflow, Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures Ability to absorb complex scientific and technical concepts ...

Bicep) to automate cloud deployments. CI/CD pipelines with Azure DevOps or GitHub Actions for automated deployment of data pipelines. MLOps best practices - MLflow, Databricks Model Serving, Feature Store. Knowledge of IFRS 17, BCBS 239, UK Data Protection Act and Solvency II compliance. Experience with pricing models, claims processing ...

e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience with modern engineering practices Git, version control, unit testing and containerisation. Familiarity with agile work methodologies and tools like Jira ...

such as forecasting daily/hourly reactive workloads, predicting asset failures, and optimising resource allocation. · Databricks Ecosystem Mastery: Utilise Databricks (Unity Catalog, Delta Lake, MLflow) to ingest, process, and analyse large-scale structured and unstructured data from diverse sources (e.g., SAP Datasphere, S3). · Algorithm Versatility: Apply a wide range ...

building simple data pipelines or transformation workflows is a plus. Exposure to ML Ops or production systems (nice to have) Familiarity with tools like MLflow, Weights & Biases, or cloud platforms (Azure, AWS, or GCP). Experience deploying models via APIs or lightweight services is a bonus, not a requirement. Software ...

frameworks like PyTorch, TensorFlow, or scikit-learn Hands-on experience with LLMs (prompting, RAG, fine-tuning, agents) Understanding of MLOps principles and tools (e.g. MLflow, DVC, Weights & Biases) Experience deploying solutions in AWS or cloud environments Familiarity with Docker, CI/CD, and version control (Git) Ability to translate complex ...

frameworks like PyTorch, TensorFlow, or scikit-learn Hands-on experience with LLMs (prompting, RAG, fine-tuning, agents) Understanding of MLOps principles and tools (e.g. MLflow, DVC, Weights & Biases) Experience deploying solutions in AWS or cloud environments Familiarity with Docker, CI/CD, and version control (Git) Ability to translate complex ...

design. Desirable (AI & Data) Vector DBs: Milvus, Weaviate, Pinecone Data orchestration: Airflow, Prefect, Dagster Search: ElasticSearch/OpenSearch AI frameworks: LangChain, Hugging Face MLOps: MLflow, Kubeflow If you are looking for an opportunity to work on mission-critical systems at the forefront of UK National Security? Apply ...

Hugging Face ecosystem Experience 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 ...

RLHF) for model alignment Production ML Systems: * Apache Airflow/Dagster for ML workflow orchestration and ETL pipeline management * Model versioning and experiment tracking (MLflow, Weights & Biases) * Real-time model serving and edge deployment strategies * A/B testing frameworks for ML model evaluation This role has been deemed Outside ...

RLHF) for model alignment Production ML Systems: * Apache Airflow/Dagster for ML workflow orchestration and ETL pipeline management * Model versioning and experiment tracking (MLflow, Weights & Biases) * Real-time model serving and edge deployment strategies * A/B testing frameworks for ML model evaluation This role has been deemed Outside ...

RLHF) for model alignment Production ML Systems: * Apache Airflow/Dagster for ML workflow orchestration and ETL pipeline management * Model versioning and experiment tracking (MLflow, Weights & Biases) * Real-time model serving and edge deployment strategies * A/B testing frameworks for ML model evaluation This role has been deemed Outside ...

RLHF) for model alignment Production ML Systems: * Apache Airflow/Dagster for ML workflow orchestration and ETL pipeline management * Model versioning and experiment tracking (MLflow, Weights & Biases) * Real-time model serving and edge deployment strategies * A/B testing frameworks for ML model evaluation This role has been deemed Outside ...

design. Desirable (AI & Data) Vector DBs: Milvus, Weaviate, Pinecone Data orchestration: Airflow, Prefect, Dagster Search: ElasticSearch/OpenSearch AI frameworks: LangChain, Hugging Face MLOps: MLflow, Kubeflow If you are looking for an opportunity to work on mission-critical systems at the forefront of UK National Security? Apply ...

technical fluency across modern data and AI stacks including cloud-native architectures (Azure, AWS), data platforms (Databricks, Snowflake, Microsoft Fabric), ML/AI tools (MLflow, LLMs, RAG pipelines, vector stores) and analytics technologies (Power BI, Tableau) Experience reviewing end-to-end data programmes and defining future-state delivery models ...

Do you enjoy building infrastructure that powers complex engineering environments? Are you the type of engineer who loves improving performance, reliability and scalability across distributed systems? Looking for a role where your platform work directly ...

Skills and Qualifications Databricks Certified Associate Developer or Professional certification. AWS Certified Solutions Architect (Associate or Professional) or relevant AWS data certifications. Experience with MLflow, Delta Lake, and advanced Databricks features. Familiarity with DevOps practices and Infrastructure as Code (IaC) tools such as Terraform or CloudFormation. Exposure to regulatory ...

Qualifications Databricks Certified Associate Developer or Professional Certification. AWS Certified Solutions Architect (Associate or Professional) or other relevant AWS data certifications. Experience with MLflow, Delta Lake, and advanced Databricks features. Familiarity with DevOps practices and Infrastructure as Code tools such as Terraform or CloudFormation. Exposure to regulatory and compliance requirements ...