26 to 38 of 38 MLflow Jobs in Central London

platforms (AWS preferred) Ability to communicate complex technical concepts clearly Desirable AWS services (SageMaker, ECS, Lambda, S3, Bedrock) MLOps/ML engineering experience (Docker, MLflow) Experience in government or regulated environments Practical experience applying LLMs Security Clearance UKIC DV eligible required £7,000 tax-free DV bonus on completion ...

sponsorship cannot be provided. Desirable: Knowledge of AWS services (e.g., Lambda, ECS, Bedrock, S3, SageMaker). Experience with ML engineering and MLOps (e.g., Docker, MLflow). Experience in regulated industries or government-related projects. Applying LLMs or advanced AI methods to real-world problems. Benefits: Competitive salary ...

process Desirable experience Practical knowledge of AWS services such as Lambda, ECS, Bedrock, S3 or SageMaker MLOps and ML engineering tooling (e.g. Docker, MLflow) Experience working in highly regulated or government environments Track record of applying large language models to solve real-world business problems Summary This is a rare ...

Experience Hands-on experience with AWS services such as Lambda, ECS, S3, SageMaker or Bedrock Knowledge of ML engineering and MLOps practices (e.g. Docker, MLflow) Experience working in government, defence or other highly regulated environments Proven application of large language models (LLMs) to real-world problems Security Clearance This role ...

Code skills. Experience designing and delivering modern IT/cloud architectures. Knowledge of modern data/ML platforms (e.g., Databricks, Azure ML, Synapse, MLflow, Airflow). Desirable Disaster recovery and cloud security best practices. Experience in research, life sciences, or health data environments. Data sharing agreements and DPIAs. Snowflake experience. ...

workflows, and infrastructure as code exposure Familiarity with Docker, Terraform, Kubernetes, and modern cloud services Working knowledge of MLOps concepts and tooling (for example MLflow, Airflow) Comfortable enabling others: documentation, training, workshops, and hands on support Desirable LLMops exposure (plus) Experience using AI agent tools in real engineering workflows ...

constrained environments Familiarity with representation learning or self-supervised approaches Research background or publications in relevant areas Tech stack • ML/AI: PyTorch, MLflow, SageMaker, ZenML • Infrastructure: AWS, Kubernetes, Docker • Edge deployment: CoreML, ONNX • Data: Python, S3, multimodal sensor data pipelines • Collaboration: JIRA, Git, structured OKR methodology Why you will ...

similar). Strong Python skills (Pandas, NumPy). Experience or exposure to NLP, transformers, and LLMs. Familiarity with ML tools like Weights & Biases or MLflow is a plus. Curious, proactive, and confident working independently. Ideally based near London for occasional client visits. 📩 Interested? Message me here or email mmatysik ...

Azure services. Experience with data lakes, data warehouses, and ETL pipelines. Familiarity with Snowflake, Databricks, and Azure ML. Understanding of ML lifecycle tools (e.g., MLflow) and Synapse ML. Solid knowledge of data security, governance, and performance optimization. Desirable Exposure to Trusted Research Environments (TREs). Experience with multi-cloud ecosystems. ...

architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous improvement. Optimize inference performance and cost through model compression, quantization … embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor ...

This is an exciting time to join a team to help pioneer both customer's and own an AI adoption journey. Not only will you be directly making a huge impact through the solutions you ...

workflows. This is a hands-on contract role with a strong focus on delivery. What you’ll be working on Setting up and improving MLflow for experiment tracking and model registry Building and supporting AWS SageMaker environments for model training and experimentation Developing ETL/data ingestion pipelines, using tools … with AWS, particularly SageMaker and S3 Experience with Docker and CI/CD pipelines Background building or maintaining ETL/orchestration workflows Experience using MLflow or a similar experiment tracking/model registry tool Nice to have Experience with vector databases or embeddings PostgreSQL experience Exposure to feature stores ...

develop backend systems (Python, FastAPI, Flask, NodeJS) Design and implement RAG pipelines (LangChain, Qdrant, embeddings) Build ETL & CI/CD workflows (Airflow, dbt, MLFlow) Integrate AI/LLM components into backend services Ensure reliability, scalability, and maintainability across systems Collaborate with a small, elite team of engineers and AI researchers … experience (Python, distributed systems, async APIs) Proven experience integrating AI or LLM systems (LangChain, vector DBs, etc.) Hands-on with some of Airflow, dbt, MLFlow, ETL, and CI/CD workflows Experience in early-stage startup environments — self-starter mindset Excited by ambiguity, ownership, and building from zero ...