4 of 4 Contract MLflow Jobs in the UK excluding London

Data Scientist: Experience with deep learning frameworks advanced modelling techniques Familiarity with MLOps concepts model monitoring deployment pipelines Exposure to tools such as Databricks MLflow feature stores Experience working in Agile product-led delivery environments Understanding of data governance ethics model explainability Relevant professional certifications relating to cloud data platforms ...

such as Amazon SageMaker . Comfortable with software version control (Git) and collaborative workflows. Experience with experiment tracking/management tools (e.g., SageMaker Studio , MLflow, Weights & Biases). Machine Learning Expertise Proven ability to build, test, and validate hypotheses through well-designed ML experiments. Hands-on experience creating and deploying ...

delivery: Enforce encryption, secrets management, IAM/least- privilege, privacy-by-design, data minimization, and model compliance requirements. MLOps & model serving: Operationalize models via MLflow/SageMaker/Vertex, with feature/data/version management, model registry, canary/blue-green rollouts, and rollback plans. Data engineering: Build reliable … Kubernetes, and CI/CD. Practical knowledge of guardrails, prompt/context engineering, multimodal workflows, and observability. Experience with MLOps/model serving (e.g., MLflow, SageMaker, Vertex AI) and data pipelines (e.g., Spark, Airflow, Beam). Security-first mindset and familiarity with compliance (PII handling, RBAC/IAM,key management ...

relevant as possible, please ensure your CV demonstrates any prior experience you have relating to the below; System Integration & Deployment Model Deployment: Flask, FastAPI, MLflow Model Serving: Triton Inference Server, Hugging Face Inference Endpoints API Integration: OpenAI, Anthropic, Cohere, Mistral APIs LLM Frameworks: LangChain, LlamaIndex for building LLM-powered applications … Monitoring Evaluation Metrics: Perplexity, relevance, response quality, user satisfaction Monitoring in Production: Drift detection, performance degradation, logging outputs Evaluation Pipelines: Automating metric tracking via MLflow or custom dashboards A/B Testing: Experience evaluating GenAI features in production environments Does this sound like your next career move? Apply today! Working ...