76 to 100 of 134 MLflow Jobs in the UK

pipelines and cloud environments (we use Azure) Strong communication skills and a collaborative mindset Preferred SkillsExperience with model versioning and experiment tracking (e.g. MLflow, Weights & Biases) Understanding of optimizing both CPU-bound and GPU-bound workloadsKnowledge of monitoring and observability tools (e.g. Prometheus, Grafana, ELK stack) Background in optimization, reinforcement ...

iOS. Data: SQL, Python, Snowflake, dbt, Airflow & Looker AI at Marshmallow: Sierra.ai for conversational AI, Python and LangChain for agentic AI solutions, Sagemaker and MLflow for Machine Learning, Cursor and Claude Code for developer productivity. What you'll be doing Drive commercial impact at every turn: Proactively identify and prioritise ...

outputs.A strong track record of building AI solutions that solve real business problems and of taking them from prototype to production.Practical experience with Databricks, MLflow and Spark based data processing.Working knowledge of responsible AI methods, including bias and fairness testing, explainability techniques, and model risk.The ability to explain complex technical ...

similar enterprise planning platforms Experience with A/B testing and experimentation frameworks for AI features Experience with model observability tools (LangSmith, W&B, MLflow) Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB ...

Gemini, Claude and OpenAI APIs. Hands‐on experience with AI tools/frameworks (e.g., Braintrust, AutoEval) and/or MLOps tools (e.g., Airflow, MLflow, Vertex AI, or similar). Solid understanding of data engineering practices, including ETL, batch/streaming pipelines, and data quality monitoring. Familiarity with cloud infrastructure ...

/FEA workflows generate and consume data Experience building model serving infrastructure with latency and throughput requirements Familiarity with experiment tracking tools (Weights & Biases, MLflow) and observability stacks (Prometheus, Grafana) What we offer Build what actually matters Help shape an AI-native engineering company at a formative stage, tackling problems ...

collaborate with data scientists, engineers and platform teams to establish standards for CI/CD, experiment tracking, model lineage and governance. Using Databricks, MLflow and Azure ML, you’ll build reproducible pipelines, promote safe productionisation, and strengthen governance while reducing operational risk. #J-18808-Ljbffr ...

production ML engineering.Strong CI/CD tooling (GitHub Actions, GitLab CI, Azure DevOps).Docker/Kubernetes and modern deployment frameworks (MLflow, Seldon, BentoML etc).Strong Python skills.Cloud experience.Bonus: experience with Bayesian/simulation-led modelling.Why this stands out1 Research-first, not reporting. 2 Complex, multi-variable and commercially meaningful problems. ...

English. Preferred Qualifications, Capabilities & Skills Product management experience for AI/ML, MLOps, or data platforms. Familiarity with MLOps concepts and frameworks, such as MLflow, Amazon SageMaker, and feature stores. Familiarity with AI concepts, such as Retrieval‐Augmented Generation (RAG), agentic system architectures, evaluation of LLMs and agents, and Model ...

Bedrock Experience with Kubernetes, CI or CD, infrastructure as code, and automation tools Familiarity with AI or ML platforms such as Databricks, SageMaker, or MLflow Exposure to hybrid cloud architectures and large scale data processing ecosystems Knowledge of enterprise data platforms, observability, and cost management tooling Leadership Expectations Set technical ...

equivalent — and familiarity with what good looks like across different GPU generations and topologies. Exposure to MLOps tooling and AI platform layers: experiment tracking (MLflow, W'B), model serving frameworks (Triton, vLLM), and pipeline orchestration (Kubeflow, Airflow). Familiarity with InfiniBand and high-performance networking as it relates to distributed ...

software and orchestration stack: CUDA, cuDNN, NCCL, ROCm, Triton Inference Server, NIM, vLLM, TensorRT-LLM, Slurm, Kubernetes (with GPU Operator), Kubeflow, Run:ai, MLflow and NVIDIA AI Enterprise. Familiarity with datacenter facilities engineering for AI workloads: high-density power, liquid cooling (DLC, rear-door, immersion), PUE/WUE optimisation ...

product engineering—from architectural design and prototyping to CI/CD-enabled deployment—using modern platforms and tools such as Azure ML, Databricks, MLflow, LangChain and LangGraph. Champion automation, testing, and observability across pipelines.· Operational Excellence: Define reusable development patterns, enforce coding standards, and promote MLOps best practices that support … 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 ...

operationalization of ML models - model versioning, experiment tracking, and deployment workflows. Work with data science teams to configure MLOps tooling such as Vertex AI, MLflow, Kubeflow, or similar platforms. Enable automated model retraining, drift detection, and performance monitoring pipelines. #J-18808-Ljbffr ...

role emphasizes reproducibility, open source, and scalable architectures. You will lead design, testing, and deployment of GenAI workflows using Databricks, LangChain, Genie, and MLflow, while collaborating with stakeholders to align AI capabilities with #J-18808-Ljbffr ...

with distributed training frameworks such as PyTorch Distributed, DeepSpeed, FSDP or Ray Train Experience operating experiment tracking systems and model registry systems such as MLflow, Weights and Biases or equivalent Solid understanding of cloud infrastructure for ML (compute, storage, networking) that is sufficient to specify requirements clearly and diagnose infrastructure ...

biology, chemistry, environmental science, or related domains Familiarity with sensor calibration pipelines, metadata tagging, or HDF5 Experience with dataset versioning and ML workflow management: MLflow, DVC, Weights & Biases Understanding of low-power device design and power budgeting What Success Looks Like in Year One Models in the Field ...

Deployment (MLOps): Partner with our engineers to transition your models from prototype into scalable, monitored, and reliable production pipelines using tools like MLflow and Optuna. Your Skills Strong hands-on professional experience in Data Science, successfully building and deploying systems from prototype to production in a fast-paced environment. Strong … handling columnar data formats like Parquet. MLOps Exposure: Experience with tools and frameworks for training, tracking, deploying, and monitoring models in production (e.g., MLflow, Optuna, Prefect, or Airflow). Background in supply chain forecasting, enterprise AI, or retail analytics M.S. or Ph.D. in Computer Science, Artificial Intelligence, Statistics, Data Science ...

Deployment (MLOps): Partner with our engineers to transition your models from prototype into scalable, monitored, and reliable production pipelines using tools like MLflow and Optuna. Your Skills Strong hands-on professional experience in Data Science, successfully building and deploying systems from prototype to production in a fast-paced environment.Strong predictive … handling columnar data formats like Parquet. MLOps Exposure: Experience with tools and frameworks for training, tracking, deploying, and monitoring models in production (e.g., MLflow, Optuna, Prefect, or Airflow). Desirable Background in supply chain forecasting, enterprise AI, or retail analyticsM.S. or Ph.D. in Computer Science, Artificial Intelligence, Statistics, Data Science ...

JOB ID: FEQ227R117 Location: London, United Kingdom Industry: Professional Business Services (Consultancy, Legal, etc) At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer‐centric ...

Skip to main content Overview Culture Benefits Diversity Engineering Research Students & new grads Back to search results Senior Solutions Architect (Large Retail Account) Remote - United Kingdom JOB ID: FEQ427R333 Location: Remote, United Kingdom - The candidates ...

Exceptional command of the English language Nice-to-Have We’d also love experience with: Version control for data and artefacts: DeltaLake DVC MLFlow Designing and operating cloud-based systems AWS and/or Databricks Messaging platforms Infrastructure as Code tools such as: Terraform CloudFormation Pulumi Kubernetes and service mesh ...

experience with LLMs and agentic systems[Preferred] Hands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlow[Preferred] Advanced understanding of the probabilistic systems underpinning modern LLMs[Preferred] Experience building AI products in highly accuracy-sensitive domains such as finance ...

Data Scientist, Predictive Analytics Key Skills: Senior Data Scientist, Data Scientist, Machine Learning, Artificial Intelligence, Predictive Analytics, Statistical Modelling, Python, SQL, PySpark, Azure, Databricks, MLflow, GitHub Actions, CI/CD, Time Series Forecasting, Propensity Modelling, Feature Engineering, Data Engineering, Azure Machine Learning, Azure Data Platform, Experiment Design, A/… PySpark Cloud & Platforms * Microsoft Azure * Azure Databricks * Azure Machine Learning Machine Learning & AI * Statistical Modelling * Predictive Analytics * Feature Engineering * Propensity Modelling * Time Series Forecasting * MLflow * PyTorch Data Engineering * Data Pipelines * Graph Databases DevOps & Development * GitHub * GitHub Actions * CI/CD * Version Control Core Activity: * Deliver end-to-end data science ...

researchers use to launch experiments, data jobs, and production endpoints — workflow engines (e.g., Kubeflow Pipelines, Airflow), GPU schedulers (e.g., Volcano, Slurm), experiment trackers (e.g., MLflow, Weights & Biases), and managed‐inference platforms (e.g., Modal, Triton) — and maintain a launcher SDK for one‐command runs. Containerization and packaging: Ship workloads with Docker … BigQuery, Snowflake), and embedded (e.g., SQLite) stores; and object storage with caching layers. Familiarity with ML workflow orchestration and experiment tracking (e.g., Kubeflow Pipelines, MLflow). Experience with monitoring and observability tooling (e.g., Prometheus/Grafana, OpenTelemetry) and CI/CD for infra and ML workflows (e.g., GitHub Actions). ...