17 of 17 MLflow Jobs in the South East

e.g. Spark, Databricks, Hadoop or cloud-native alternatives). Experience with containerisation and DevOps/MLOps tools (e.g. Docker, Kubernetes, Git, CI/CD, MLflow, Airflow). Strong experience with data engineering concepts (ETL/ELT, data integration, warehousing, vector databases/search) A little bit more about us... ...

such as Azure, AWS or GCP A passion for building solutions that are scalable, secure and production-ready Experience with technologies such as Databricks, MLflow, LangChain, LangGraph, Semantic Kernel or modern AI platforms would be advantageous, but isn't essential. Why Join? Fully remote working Private healthcare and life assurance ...

engage with both technical and executive stakeholders Desirable Experience working within Financial Services, Insurance or other highly regulated environments would be advantageous. Databricks, MLflow and modern AI platform experience LangChain, LangGraph, Semantic Kernel, AutoGen or similar frameworks Retrieval-Augmented Generation (RAG) architectures Multi-agent orchestration platforms Responsible AI and governance ...

Face Transformers; OpenCV for vision applications. Strong understanding of experimental design, statistical evaluation, benchmarking and model validation. Experiment tracking and reproducibility tools, for example MLflow, Weights & Biases or equivalent. Data wrangling and analysis using Pandas, NumPy, SQL; familiarity with Spark or similar is a plus. Model optimisation and research ...

containerised environments. Collaborate with Data Scientists and Engineers to productionise models. Improve platform scalability, reliability, and automation. Key Skills Strong Python experience. MLOps tooling (MLflow, Kubeflow, SageMaker, or similar). Docker and Kubernetes. CI/CD tooling (GitHub Actions, GitLab CI, Azure DevOps). Cloud platforms (AWS, Azure ...

including Python, APIs, and distributed systems. Good understanding of MLOps tooling, including CI/CD, monitoring, and pipeline management. Experience with tools such as MLflow, Airflow, Evidently, DVC, Docker, or Kubernetes. Experience working within AWS, GCP, or Azure environments. Previous mentoring or leadership experience with an interest in developing management ...

data modelling, ETL and ELT processes, data quality, security and governanceAbility to collaborate effectively with technical and non-technical stakeholdersExperience with Unity Catalog, MLflow or Databricks Asset Bundles would be advantageousKnowledge of dbt, Kafka, Event Hubs or other data transformation and streaming technologies would be beneficialDesirable Experience: Databricks certificationsExperience working ...

orchestration Data Governance & Observability Collibra Data Catalogue Data Lineage Data Governance Frameworks Acceldata Data Observability Data Quality Monitoring AI, Machine Learning & Advanced Analytics Databricks MLflow Model Registry Feature Stores MLOps Frameworks Advanced Analytics Cognitive Search & GenAI Sinequa Knowledge Graphs GraphRAG Hybrid Search NLP Solutions AWS Bedrock AgentCore LangChain OpenAI & Claude ...

Data Mesh concepts, data products, or federated data governance models. AI/ML Infrastructure: Exposure to AI/ML data foundations, including feature stores, MLflow, model serving, or retrieval pipelines (RAG). Regulated Sectors: Experience working within regulated environments (Financial Services, Healthcare, Public Sector). How You Work Pragmatic & Objective ...

model deployment and scalable infrastructure. Excellent stakeholder management and technical communication skills. Desirable Experience GPU optimisation, distributed training and inference acceleration. Docker, Kubernetes, MLflow or Kubeflow. Object detection, segmentation and large-scale imagery processing. Edge AI and NVIDIA technologies. Defence, aerospace or national security projects. ...

/CD and infrastructure automation tools. Strong communication skills and a proactive approach to problem solving. Desirable Databricks certifications. Experience with Microsoft Fabric, MLflow or Terraform. Background working on enterprise data warehouse or data lake projects. If this Data Engineer role sounds like a good fit, you can work ...

record of deploying, monitoring and maintaining ML systems at scale Ability to balance hands-on engineering with people management responsibilities Experience with AWS, Snowflake, MLflow, Airflow or similar tooling would be advantageous SALARY AND BENEFITS £110,000 - £125,000 base salary Annual bonus Hybrid working model Private medical insurance Enhanced ...

quality and reliability. Supporting analytics and machine learning Provide the platform foundations needed for data science experimentation and production modelling. Support capabilities such as MLflow, feature management and model deployment. Help users diagnose platform-related problems and adopt consistent engineering practices. Contribute to technical reviews, knowledge sharing and mentoring across ...

Engineering, or MLOps environments Experience building, deploying, and supporting machine learning solutions at scale Experience working with AWS and ML tooling such as MLflow, Airflow, Metaflow, or Snowflake Ability to balance technical leadership, strategic thinking, and hands-on engineering contribution SALARY AND BENEFITS Up to £125,000 base salary Contributory ...

Description Join us, be part of more. We're so much more than an energy company. We're a family of brands revolutionising how we power the planet. We're energisers. One team of 21 ...

business cases, investment proposals and value assessments. Knowledge of AI ecosystems such as Microsoft Copilot, Azure AI Foundry, GitHub Copilot, Claude, Databricks Mosaic AI, MLflow, AI Agents and Knowledge Assistants. Experience managing product backlogs, user stories, acceptance criteria and releases. Strong stakeholder management, facilitation, consulting and communication skills. Ability … Product Management, Consulting, Data Analytics or Digital Transformation. Experience delivering Data & AI products within the industrial or energy sector. Experience with Databricks Mosaic AI, MLflow and enterprise AI platforms. Experience delivering Agentic AI, RAG, Knowledge Assistants and intelligent automation solutions. Experience demonstrating measurable business value and driving product adoption. ...

systems across recommendations, ranking and pricing. Develop MLOps processes to support reliable model deployment and operation. Work with ML technologies including TensorFlow, PyTorch and MLflow, with flexibility around the wider technology stack. Support LLMOps and the deployment of open-weight LLMs for product retrieval and data processing. Work alongside … online or high-throughput machine learning systems. Experience working with recommendation, ranking, retrieval or similar production ML systems. Hands-on capability with TensorFlow, PyTorch, MLflow or comparable ML tooling. Strong understanding of ML deployment, productionisation and operational ML infrastructure. Experience with LLMOps or deploying LLMs into production environments would ...