1 to 25 of 34 Permanent MLflow Jobs in the UK excluding London

pipelines. Ability to analyse large datasets and communicate insights effectively. Experience with LLMs, generative AI, and prompt engineering. Knowledge of MLOps tools and frameworks (MLflow, Kubeflow, Airflow). Familiarity with SQL, NoSQL, and distributed data technologies. Experience deploying AI models in production environments. Publications, patents, or open-source contributions ...

Studio, OpenAI, AKS), GCP (Vertex AI, Cloud Run), AWS (Bedrock, SageMaker)* Experience building and automating AI/ML pipelines using tools such as MLflow, Kubeflow, Azure ML, Vertex Pipelines, Airflow or Google ADK* Hands-on experience with Generative and Agentic AI frameworks such as LangChain, LlamaIndex, CrewAI, Autogen, Google ...

with data manipulation libraries (e.g. PySpark, Pandas, Numpy) and machine learning frameworks (e.g. scikit-learn, TensorFlow or PyTorch). Experience with MLOps tools (e.g., MLflow, Databricks Model Registry, Unity Catalog, Vertex AI) and version control (Git). Strong coding practices with experience in code optimisation, ETL frameworks and processing large ...

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. ...

experience in Artificial Intelligence, Software Engineering, Data Science or a related discipline. Eligible to obtain UK Security Clearance (SC). DESIRABLE SKILLS: Experience with MLflow, Weights & Biases or similar experiment-tracking tools. Experience with Spark or large-scale data processing platforms. Knowledge of ONNX, TorchScript, FastAPI or gRPC. Experience deploying ...

deliver high-quality scalable data solutions. Technical Expertise Deep expertise with the Databricks platform (Spark/PySpark/Scala, Delta Lake, Unity Catalog, MLflow). Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent. Strong SQL and Python (or equivalent language) skills for data manipulation ...

Fluent English – for international communication and collaboration. Additional Information Nice to have: Experience with LLMs, or Time Series, Familiarity with tools like Docker, MLflow, Airflow, AWS/GCP/Azure, Background in research or R&D, Experience working in cross-functional or international teams. Soft Skills: Curiosity and problem-solving ...

agile delivery practices including CI/CD, Application Resiliency, and Security. Preferred qualifications, capabilities, and skills Production experience with Databricks (Delta Lake, Unity Catalog, MLflow, Databricks Jobs) and workflow orchestration with Apache Airflow. Strong working knowledge of both supervised and unsupervised techniques, including tree-based and kernel methods (gradient boosting ...

Databricks. You'll work as a peer of the platform engineering teams. Rigour in running AI in production: experiment tracking and model registry (MLflow), evaluation frameworks and regression testing before release, monitoring and data-drift management, LLM observability and model governance. A track record of owning technical decisions across model ...

agile delivery practices including CI/CD, Application Resiliency, and Security. Preferred qualifications, capabilities, and skills Production experience with Databricks (Delta Lake, Unity Catalog, MLflow, Databricks Jobs) and workflow orchestration with Apache Airflow. Strong working knowledge of both supervised and unsupervised techniques, including tree-based and kernel methods (gradient boosting ...

Experience with: Databricks Workflows Jobs orchestration Notebooks Repos Cluster management Unity Catalog Preferred Skills Databricks Certified DataEngineer Professional/Databricks Certified Architect. Experience with: MLflow Databricks Machine Learning Feature Store Model deployment MLOps Knowledge of streamingtechnologies: Structured Streaming Kafka Experience with datagovernance, compliance,and enterprise securityframeworks. Key Competencies Strong Databricks ...

Chroma, Weaviate, pgvector, Azure AI Search, or equivalent. Solid understanding of CI/CD pipelines for application code and ML/AI artifacts, including MLflow, DVC, or equivalent. Strong container and orchestration skills with Docker and Kubernetes, including the ability to deploy and troubleshoot AI inference workloads. Public cloud experience ...

APIs, or cloud-native application deployment Experience with infrastructure as code, automated testing, observability, logging, or platform monitoring Awareness of MLOps concepts such as MLflow, model registry, model promotion, model monitoring, and governed deployment pipelines Exposure to machine learning workflows or data science environments, with an interest in developing into ...

modelling, ETL and ELT processes, data quality, security and governance Ability to collaborate effectively with technical and non-technical stakeholders Experience with Unity Catalog, MLflow or Databricks Asset Bundles would be advantageous Knowledge of dbt, Kafka, Event Hubs or other data transformation and streaming technologies would be beneficial Desirable Experience ...

agile delivery practices including CI/CD, Application Resiliency, and Security. Preferred Qualifications, Capabilities, And Skills Production experience with Databricks (Delta Lake, Unity Catalog, MLflow, Databricks Jobs) and workflow orchestration with Apache Airflow. Experience with evaluation frameworks and approaches (golden datasets, LLM-as-judge, human-in-the-loop review ...

learning solutions in a data-rich commercial environment. Experience supporting operational, financial, customer or commercial decision-making through data and AI. Exposure to MLOps, MLflow or model lifecycle management. Experience with Microsoft Azure, Fabric or AI technologies. Job Offer Lead AI/ML Engineer Competitive salary ...

Python and proficiency in other languages (e.g., SQL, R, Java). Strong experience deploying and monitoring machine learning (MLOps) using tools such as MLflow, AWS Sagemaker, and Azure Machine Learning. Proven track record of delivering high-quality, scalable data science solutions. Expertise in Data Manipulation, ML, and Statistical Analysis coding ...

methodologies for validation and processing of data against contracts. Enablement: Establish a stable data serving layer for Grafana and Analytics (via Databricks/MLflow), unblocking the Data Science team. Mentorship: Upskill the existing team in good practices (dbt, git workflows, SQL optimisation, data modelling). Experience & Background Pragmatic Architect: Capable ...

Streaming) Data products, mesh or federated ownership models applied on a real programme, not just in theory ML and AI platform work: feature stores, MLflow, model serving, and the data foundations behind RAG or agentic use cases Regulated-sector exposure financial services, healthcare, public sector and the assurance that comes ...

Triton, vLLM, or similar) with real latency and cost constraints(preferred RayServe) MLOps pipeline tooling - training pipelines, model registries, feature stores, and lineage (Kubeflow, MLflow, Feast, Weights & Biases, or equivalents) LLMOps in production - inference serving, prompt/version management, and LLM observability (tracing, evals, drift, guardrails, cost per request) Governing ...

client travel. Preferred Qualifications Experience conducting formal estate assessment, discovery, or technical due diligence work. Experience with MLOps or model lifecycle tooling such as MLflow, model registries, or feature stores. Experience with workflow orchestration tools such as Airflow, dbt, or Databricks Workflows. Experience with data product or data mesh operating ...

ideal Machine Learning Engineer candidate will have: Highly skilled in Python. Knowledge of AWS or GCP. Ideally experience of SKLearn/Docker/MLFlow or PyTest Excellent communication and problem solving skills. What is in it for you? As a talented Machine Learning Engineer you can expect: Great salary ...

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/ ...

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 ...