126 to 150 of 178 MLflow Jobs in the UK

metrics. Experience creating, managing, and interrogating graph databases (e.g., Neo4j). Experience with maritime, aerial, or other remote-sensing imagery. Exposure to MLOps tools (MLflow, Weights & Biases, Ray etc.) Experience deploying systems with containerisation, both on premises and in the cloud (e.g. using Docker and AWS ECS/ ...

engineering fundamentals - you build reliable, well-tested, maintainable systems. Python, Kotlin/Java, SQL. Experience with ML orchestration (Airflow, Kubeflow, or equivalent), model registries (MLflow or similar), and container-based deployment End-to-end understanding of the ML lifecycle - data ingestion through training, packaging, serving, and monitoring - and knowledge ...

Managed Services on cloud and on prem AI/ML & MLOps - Open source AI/ML solutions, AIOps automation, model lifecycle management, Kubeflow, MLFlow, KServe, and AI infrastructure on cloud and edge IoT - Ubuntu on embedded devices and/or edge servers, device management, and robotics Cloud - Ubuntu in public ...

will work on NLP-focused ML projects, primarily in Python, with cloud platforms like AWS or GCP and ML tooling such as SKLearn, Docker, MLFlow and PyTest. The role supports a salary up to £75,000 plus a package, with occasional office visits to Milton Keynes. You will contribute ...

business impact. The candidate will have experience with AI deployments across cloud platforms like Azure and AWS, and familiarity with frameworks such as MLflow and Kubeflow. Flexible working arrangements are available, reflecting the company's commitment to employee wellbeing. #J-18808-Ljbffr ...

Lead technical implementation of pilot models on the Global AI Platform. Develop reusable migration accelerators and standards. Key Experience Databricks Lakehouse Platform. Databricks ML, MLflow, Unity Catalog, Workflows, and Model Serving. CI/CD and MLOps automation. Python and production ML deployment patterns. ...

Lead technical implementation of pilot models on the Global AI Platform. Develop reusable migration accelerators and standards. Key Experience Databricks Lakehouse Platform. Databricks ML, MLflow, Unity Catalog, Workflows, and Model Serving. CI/CD and MLOps automation. Python and production ML deployment patterns. ...

/IEC 27001, UK GDPR/DPA 2018). Hands-on exposure to one or more platforms: Microsoft Purview, Azure ML, Databricks/MLflow, Azure Fabric, Power BI governance; plus experience with data catalogues (e.g., Collibra, Alation) is a bonus. Exposure to MLOps processes (model registry, approval workflows, monitoring, incidents ...

gateways. Experience with multi-modal models, embeddings or similarity search at scale. Experience with ML experiment tracking and workflow tooling, such as MLflow or Argo Workflows. Experience with SQL databases, including writing and optimising queries against large datasets. Preferably based in London, though Manchester and Bath are also options. AtNetcraftwe ...

gateways. Experience with multi-modal models, embeddings or similarity search at scale. Experience with ML experiment tracking and workflow tooling, such as MLflow or Argo Workflows. Experience with SQL databases, including writing and optimising queries against large datasets. Preferably based in London, though Manchester and Bath are also options. AtNetcraftwe ...

gateways. Experience with multi-modal models, embeddings or similarity search at scale. Experience with ML experiment tracking and workflow tooling, such as MLflow or Argo Workflows. Experience with SQL databases, including writing and optimising queries against large datasets. Preferably based in London, though Manchester and Bath are also options. AtNetcraftwe ...

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 ...

обеспечивать соответствие требованиям безопасности и корпоративной архитектуре. Основные обязанности включают мониторинг производительности, планирование ресурсов, внедрение MLOps-процессов и поддержку интеграций с Databricks, MLflow, Jenkins и OpenShift. #J-18808-Ljbffr ...

have a good knowledge of modern software engineering best practices, microservices, TDD/DDD, common Design Patterns Experience with Databricks, PostgreSQL, Amazon RedShift or MLflow would be great but not essential What's in it for you: As a Backend Software Engineer/Developer (Machine Learning AWS) you will earn ...

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 ...

with foundation vision models for segmentation or detection (e.g. SAM2) and how to apply them in production contexts Exposure to MLOps tooling - experiment tracking (MLflow, W&B), dataset versioning, model deployment Academic or project work in robotics, autonomous systems, or applied ML Interest in warehouse logistics, supply chain, or industrial ...

evaluation. Build hands-on proofs of concept and reference implementations that operationalise large-scale LLM and deep learning workloads on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog governance), tuned to the fast iteration cycles Emerging DNB customers expect. Lead fine-tuning and model-customisation engagements on open … distributed training, GPU workloads, and the full MLOps lifecycle (tracking, registry, serving, monitoring). Proficiency in Python and the ML ecosystem (PyTorch/Transformers, MLflow, Spark), and comfort building production-quality reference implementations. Experience with the Databricks platform — or the ability to ramp on it quickly — including Mosaic AI, Model ...

ReqID: FEQ427R340 Location: London Skills: Data Science, Machine Learning, AI, LLM, GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers ...

Senior Specialist Solutions Architect (AI/ML) London, United Kingdom Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the ...

delivery of ML infrastructure across backend and frontend, while guiding a 5+ engineering team. The role focuses on deploying scalable ML systems, migrating MLflow to AWS SageMaker, and enforcing MLOps best practices, with collaboration across data science, engineering, and operations in a hybrid London or remote Spain setup. #J ...

based feature engineering. You will collaborate with cross-functional teams, mentor juniors, and contribute to long-term modeling vision, leveraging Python, SQL, XGBoost, and MLFlow in a fast-paced environment. #J-18808-Ljbffr ...

deep‐tech or complex engineering organisations. Familiarity with modern engineering and ML tooling and workflows, such as CI/CD pipelines, Jira or ClickUp, MLflow or Weights & Biases, and simulation or testing environments. Experience working in regulated, safety‐critical, or physically constrained systems where software interacts directly with hardware ...

As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement ...

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What ...

enterprise data and AI solutions on the Databricks Lakehouse Platform. Engineer production-grade Lakehouse implementations using technologies such as Unity Catalog, Delta Live Tables, MLflow and Lakeflow. Own the hardest technical problems on an engagement - performance tuning, complex migrations, scale and reliability. Set engineering standards for code quality, testing, observability … testing frameworks and deployment automation. Excellent communication and stakeholder management skills. Desirable Databricks certification. Experience delivering AI or Generative AI solutions. Experience with MLflow, Terraform or Databricks Asset Bundles. Experience building reusable frameworks, accelerators or internal platform tooling. Previous technical leadership, mentoring or engineering-standards ownership at senior or principal ...