1 to 25 of 35 Remote/Hybrid MLflow Jobs in the UK

Bedrock, or Google Vertex AI [Preferred]). Knowledge of SQL and advanced data modeling for structured and unstructured data. Familiarity with MLOps tools (MLflow, Kubeflow) and containerization (Docker, Kubernetes). Experience working in an Agile/Scrum development environment. Knowledge of AI security frameworks and responsible AI practices (e.g., OWASP ...

TensorFlow Scikit-learn XGBoost Experience deploying ML solutions on AWS, including services such as SageMaker, Lambda, and S3. Strong understanding of MLOps tooling, including MLflow, Weights & Biases, or Data Version Control (DVC). Experience developing LLM or Generative AI applications, including RAG architectures and prompt engineering. Knowledge of LLMOps frameworks ...

security certifications Experience deploying ML models into production environments Experience with Kubernetes, OpenShift, or cloud-native deployment architectures Experience with MLOps tooling (e.g. MLflow, Kubeflow, model monitoring platforms) Experience applying DevSecOps practices within cloud or controlled environments Exposure to large language models or generative AI systems Experience with data engineering ...

Science, Machine Learning, or related field Nice to Have Published research in top ML venues (NeurIPS, ICML, ACL, CVPR). Experience with MLOps tools: MLflow, Weights & Biases, DVC. Familiarity with distributed training frameworks (DeepSpeed, Horovod). Experience with LLM fine-tuning and prompt engineering. Contributions to open-source ML projects. ...

proposalsCandidates should have strong experience in AI Engineering, MLOps and cloud-native AI platforms, alongside hands-on knowledge of technologies such as LangChain, LlamaIndex, MLflow, Kubernetes, Docker and CI/CD tooling.Applicants will ideally demonstrate: Experience working in a major Consulting firm, and/or in industry A strong consulting ...

Candidates should have strong experience in AI Engineering, MLOps and cloud-native AI platforms, alongside hands-on knowledge of technologies such as LangChain, LlamaIndex, MLflow, Kubernetes, Docker and CI/CD tooling. Applicants will ideally demonstrate: * Experience working in a major Consulting firm, and/or in industry * A strong ...

existing systemsExperience with cloud providers (e.g., AWS, Azure, Google Cloud Platform)Experience testing ML services in production environmentsKnowledge of experiment tracking tools (e.g., Comet, MLflow, Weights & Biases)The Ideal CandidateYou demonstrate initiative to provide solutions and to learn and develop new technologiesComfortable building QA systems from scratch and writing maintainable ...

existing systemsExperience with cloud providers (e.g., AWS, Azure, Google Cloud Platform)Experience testing ML services in production environmentsKnowledge of experiment tracking tools (e.g., Comet, MLflow, Weights & Biases)The Ideal CandidateYou demonstrate initiative to provide solutions and to learn and develop new technologiesComfortable building QA systems from scratch and writing maintainable ...

existing systemsExperience with cloud providers (e.g., AWS, Azure, Google Cloud Platform)Experience testing ML services in production environmentsKnowledge of experiment tracking tools (e.g., Comet, MLflow, Weights & Biases)The Ideal CandidateYou demonstrate initiative to provide solutions and to learn and develop new technologiesComfortable building QA systems from scratch and writing maintainable ...

existing systemsExperience with cloud providers (e.g., AWS, Azure, Google Cloud Platform)Experience testing ML services in production environmentsKnowledge of experiment tracking tools (e.g., Comet, MLflow, Weights & Biases)The Ideal CandidateYou demonstrate initiative to provide solutions and to learn and develop new technologiesComfortable building QA systems from scratch and writing maintainable ...

existing systemsExperience with cloud providers (e.g., AWS, Azure, Google Cloud Platform)Experience testing ML services in production environmentsKnowledge of experiment tracking tools (e.g., Comet, MLflow, Weights & Biases)The Ideal CandidateYou demonstrate initiative to provide solutions and to learn and develop new technologiesComfortable building QA systems from scratch and writing maintainable ...

with a focus on reproducibility, dataset versioning, and efficient access Working knowledge of cloud platforms (AWS, GCP, or Azure) and modern MLOps tooling (e.g. MLflow, Weights & Biases, DVC, Airflow) Strong experience with Python and associated scientific software packages such as PyTorch, OpenCV, Pandas, SciPy, NumPy, SciKit-learn, etc. Strong software ...

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 ...

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 ...

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 ...

.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 ...

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 ...

responsible AI practices are maintained. Experience: Proven experience designing and delivering data and AI platforms using Databricks. Strong knowledge of Databricks Lakehouse, Unity Catalog, MLflow, and AI workloads. Experience developing GenAI solutions such as RAG, embeddings, and LLM integration. Experience designing agentic workflows and orchestration patterns. Strong understanding of Azure ...

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 ...

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 ...

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 ...

/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 ...

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 ...