machine learning models in production environments. Strong knowledge of Python and common ML frameworks such as scikit-learn, PyTorch, or TensorFlow. Experience with MLOps practices and tools (e.g., MLflow, SageMaker, Vertex AI, DVC). Familiarity with financial data models, structured datasets, and data validation. Understanding of regulatory reporting, trade lifecycle data, or capital markets workflows. Experience with cloud platforms More ❯
machine learning models in production environments. Strong knowledge of Python and common ML frameworks such as scikit-learn, PyTorch, or TensorFlow. Experience with MLOps practices and tools (e.g., MLflow, SageMaker, Vertex AI, DVC). Familiarity with financial data models, structured datasets, and data validation. Understanding of regulatory reporting, trade lifecycle data, or capital markets workflows. Experience with cloud platforms More ❯
london (city of london), south east england, united kingdom
Miryco Consultants Ltd
machine learning models in production environments. Strong knowledge of Python and common ML frameworks such as scikit-learn, PyTorch, or TensorFlow. Experience with MLOps practices and tools (e.g., MLflow, SageMaker, Vertex AI, DVC). Familiarity with financial data models, structured datasets, and data validation. Understanding of regulatory reporting, trade lifecycle data, or capital markets workflows. Experience with cloud platforms More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Salt Search
certification desirable). Proven experience deploying and supporting LLMs in production. Strong understanding of LLM fine-tuning (PyTorch, TensorFlow, Hugging Face Trainer, etc.). Experience with ML tooling (e.g. SageMaker, LangChain/LangSmith, MLflow, Dataiku, DataRobot). Knowledge of embeddings, their applications, and limitations. Hands-on experience in Agile/Lean/XP environments. Excellent communication, problem-solving, and More ❯
comfort with AWS, Docker, Terraform/CDK, Postgres, etc. • Solid grounding in ML algorithms, MLOps, and data science workflows. • Experience with Spark, TensorFlow, Kafka, or similar tools. • Experience with SageMaker, KServe, Triton, or similar infra. Nice-to-Have: • Built agentic workflows/LLM tool-use. • Experience with MLFlow, WandB, LangFuse, or other MLOps tools. • Experience with React, FastAPI, or More ❯
comfort with AWS, Docker, Terraform/CDK, Postgres, etc. • Solid grounding in ML algorithms, MLOps, and data science workflows. • Experience with Spark, TensorFlow, Kafka, or similar tools. • Experience with SageMaker, KServe, Triton, or similar infra. Nice-to-Have: • Built agentic workflows/LLM tool-use. • Experience with MLFlow, WandB, LangFuse, or other MLOps tools. • Experience with React, FastAPI, or More ❯
london (city of london), south east england, united kingdom
Plexe AI
comfort with AWS, Docker, Terraform/CDK, Postgres, etc. • Solid grounding in ML algorithms, MLOps, and data science workflows. • Experience with Spark, TensorFlow, Kafka, or similar tools. • Experience with SageMaker, KServe, Triton, or similar infra. Nice-to-Have: • Built agentic workflows/LLM tool-use. • Experience with MLFlow, WandB, LangFuse, or other MLOps tools. • Experience with React, FastAPI, or More ❯
continuous improvement of model delivery practices. Required Skills & Experience Solid Python engineering background with some experience in ML model deployment Familiarity with AWS services and cloud-based ML deployment (SageMaker experience preferred but not required) Basic understanding of data warehousing concepts and SQL (Snowflake experience a plus) Experience with or willingness to learn CI/CD tooling (e.g. GitHub More ❯
continuous improvement of model delivery practices. Required Skills & Experience Solid Python engineering background with some experience in ML model deployment Familiarity with AWS services and cloud-based ML deployment (SageMaker experience preferred but not required) Basic understanding of data warehousing concepts and SQL (Snowflake experience a plus) Experience with or willingness to learn CI/CD tooling (e.g. GitHub More ❯
london (city of london), south east england, united kingdom
NewDay
continuous improvement of model delivery practices. Required Skills & Experience Solid Python engineering background with some experience in ML model deployment Familiarity with AWS services and cloud-based ML deployment (SageMaker experience preferred but not required) Basic understanding of data warehousing concepts and SQL (Snowflake experience a plus) Experience with or willingness to learn CI/CD tooling (e.g. GitHub More ❯
and regulatory requirements Required Expertise: Extensive ML Ops/ML Engineering experience, particularly in assurance, governance, and monitoring Hands-on knowledge of ML Ops platforms and tools (Kubeflow, MLflow, SageMaker, Azure ML, or equivalent) Proven ability to deploy and maintain AI solutions in regulated or complex operational settings Strong grounding in responsible AI practices, including explainability and fairness Experience More ❯
london, south east england, united kingdom Hybrid / WFH Options
i3
SENIOR DATA ENGINEER PERMANENT CITY OF LONDON £90,000 - £100,000 HYBRID work available - City of London office/Home As a key member of this team, you will play a pivotal role in designing and implementing data warehousing solutions More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
i3
SENIOR DATA ENGINEER PERMANENT CITY OF LONDON £90,000 - £100,000 HYBRID work available - City of London office/Home As a key member of this team, you will play a pivotal role in designing and implementing data warehousing solutions More ❯
slough, south east england, united kingdom Hybrid / WFH Options
i3
SENIOR DATA ENGINEER PERMANENT CITY OF LONDON £90,000 - £100,000 HYBRID work available - City of London office/Home As a key member of this team, you will play a pivotal role in designing and implementing data warehousing solutions More ❯
