18 of 18 MLOps Jobs in the East of England

GenAI Depth: Proven experience architecting solutions with frontier modelsincluding prompt engineering, fine-tuning, RAG, and agentic/multi-agent system design. LLMOps/MLOps Grounding: Expertise in evaluation frameworks, observability, cost and latency optimization, guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers ...

GenAI Depth: Proven experience architecting solutions with frontier modelsincluding prompt engineering, fine-tuning, RAG, and agentic/multi-agent system design. LLMOps/MLOps Grounding: Expertise in evaluation frameworks, observability, cost and latency optimization, guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers ...

GenAI Depth: Proven experience architecting solutions with frontier modelsincluding prompt engineering, fine-tuning, RAG, and agentic/multi-agent system design. LLMOps/MLOps Grounding: Expertise in evaluation frameworks, observability, cost and latency optimization, guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers ...

GenAI Depth: Proven experience architecting solutions with frontier modelsincluding prompt engineering, fine-tuning, RAG, and agentic/multi-agent system design. LLMOps/MLOps Grounding: Expertise in evaluation frameworks, observability, cost and latency optimization, guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers ...

GenAI Depth: Proven experience architecting solutions with frontier modelsincluding prompt engineering, fine-tuning, RAG, and agentic/multi-agent system design. LLMOps/MLOps Grounding: Expertise in evaluation frameworks, observability, cost and latency optimization, guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers ...

GenAI Depth: Proven experience architecting solutions with frontier modelsincluding prompt engineering, fine-tuning, RAG, and agentic/multi-agent system design. LLMOps/MLOps Grounding: Expertise in evaluation frameworks, observability, cost and latency optimization, guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers ...

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 architectureand implementation expertise. Ability to designscalableand cost-efficientLakehouse ...

catch issues early and keep things running smoothlyTroubleshooting complex issues across distributed systems, spanning data infrastructure, training, and inferenceContinuously improving our data and MLOps practices, and helping shape the roadmap for how our platform evolves as we scaleWhat you'll needStrong proficiency in Python and SQL, with a solid backend ...

track record of developing and deploying models at scale Expertise in Python, ML frameworks (TensorFlow, PyTorch), and experience with cloud platforms Strong familiarity with MLOps principles, CI/CD pipelines, and containerization (Docker, Kubernetes) With preferred backgrounds covering some of the following: Experience with speech-to-text or text ...

assurance environments (e.g. financial services). An understanding of the latest AI safety research and active involvement in that community. Deep knowledge of modern MLOps practices, CI/CD, and large-scale deployments. A collaborative and supportive work environment The opportunity to have a high impact in a growing organisation ...

optimisation • The ability to debug and improve model performance systematically Also Valued • Knowledge of distributed training or large-scale data processing • Experience with MLOps tools (CI/CD for ML, experiment tracking, model versioning) • A background in applied research or publishing • Familiarity with retrieval systems, embeddings or ranking models Ideally ...

quantitative field Cloud data platforms (Snowflake, Databricks, BigQuery, or Azure Synapse) Product analytics instrumentation experience (Amplitude, Mixpanel, Pendo, or custom event pipelines) MLOps - model deployment, monitoring, and retraining in production Experience building propensity or scoring models that integrate into CRM/CS platforms Familiarity with industrial software or enterprise SaaS ...

image classification, object detection and segmentation tasks. Experience creating clear documentation and annotation guidelines. Excellent organisational skills. Desirable Experience with PyTorch datasets. Experience with MLOps or data pipelines. Understanding of computer vision model training. Knowledge of active learning workflows. Experience with Git. Robotics or autonomous systems experience. What ...

image classification, object detection and segmentation tasks. Experience creating clear documentation and annotation guidelines. Excellent organisational skills. Desirable Experience with PyTorch datasets. Experience with MLOps or data pipelines. Understanding of computer vision model training. Knowledge of active learning workflows. Experience with Git. Robotics or autonomous systems experience. What ...

image classification, object detection and segmentation tasks. Experience creating clear documentation and annotation guidelines. Excellent organisational skills. Desirable Experience with PyTorch datasets. Experience with MLOps or data pipelines. Understanding of computer vision model training. Knowledge of active learning workflows. Experience with Git. Robotics or autonomous systems experience. What ...

image classification, object detection and segmentation tasks. Experience creating clear documentation and annotation guidelines. Excellent organisational skills. Desirable Experience with PyTorch datasets. Experience with MLOps or data pipelines. Understanding of computer vision model training. Knowledge of active learning workflows. Experience with Git. Robotics or autonomous systems experience. What ...

image classification, object detection and segmentation tasks. Experience creating clear documentation and annotation guidelines. Excellent organisational skills. Desirable Experience with PyTorch datasets. Experience with MLOps or data pipelines. Understanding of computer vision model training. Knowledge of active learning workflows. Experience with Git. Robotics or autonomous systems experience. What ...

image classification, object detection and segmentation tasks. Experience creating clear documentation and annotation guidelines. Excellent organisational skills. Desirable Experience with PyTorch datasets. Experience with MLOps or data pipelines. Understanding of computer vision model training. Knowledge of active learning workflows. Experience with Git. Robotics or autonomous systems experience. What ...