11 of 11 Contract MLOps Jobs in the South East

integrations that embed AI into customer journeys, internal tools, and digital platforms* Own model lifecycle processes including deployment, monitoring, evaluation, and retraining* Implement robust MLOps practices to ensure reliability, performance, and scalability* Mentor engineers and contribute to shared tooling, reusable patterns, and engineering standards Required Experience* Strong software engineering background ...

Mathematics Computer Science or a related quantitative discipline Desirable Skills for the 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 ...

hypotheses through well-designed ML experiments. Hands-on experience creating and deploying AI/ML models , including Large Language Models (LLMs) . Understanding of MLOps principles and deploying models into production environments. Collaboration & Delivery Experience working within - and ideally leading - cross-functional teams . Ability to translate complex business challenges ...

MLOps Engineer - Azure ML, Github Up to £550pd (Inside IR35) London/Hybrid 6 months My client is looking for an MLOps Engineer to build and maintain scalable, automated AI systems on Azure. You'll develop CI/CD pipelines for AI/ML, manage model deployment and monitoring … work closely with data scientists and engineers to ensure secure, reliable, and compliant AI operations across environments. Key Requirements: Proven experience in MLOps with strong focus on Azure Proficient in Azure Machine Learning, Cognitive Services, Speech Services, Azure OpenAI Hands-on with Azure DevOps, Azure CLI, and CI/ ...

architectures . Expert-level SQL and experience with BigQuery and vector databases (Pinecone, Weaviate, Vertex AI Search). Proven track record in MLOps and deploying ML models at scale. Experience moving LLM-based prototypes into production environments with thousands of users. Background in building internal tooling, CRM enhancements, or sales ...

issues and implement effective resolutions. Optimize application performance using Azure monitoring tools (Azure Monitor, App Insights). Improve SQL query performance for applications and MLOps workflows. Perform proactive monitoring, troubleshooting, and enhancement of application functionality. Integration & Documentation Integrate third-party APIs/services ensuring seamless communication. Document technical decisions, architectural ...

Ability to clearly explain complex AI concepts to technical and non-technical stakeholders Desirable: Experience with cloud platforms (AWS, Azure, or GCP) Familiarity with MLOps, evaluation, and monitoring of AI systems Experience working in product-led or scale-up environments Reasonable Adjustments: Respect and equality are core values to us. ...

Ability to clearly explain complex AI concepts to technical and non-technical stakeholders Desirable: Experience with cloud platforms (AWS, Azure, or GCP) Familiarity with MLOps, evaluation, and monitoring of AI systems Experience working in product-led or scale-up environments Reasonable Adjustments: Respect and equality are core values to us. ...

powered applications Vector Databases: FAISS, Weaviate, Pinecone, Qdrant (Nice-to-Have) Retrieval-Augmented Generation (RAG): Experience building hybrid systems combining LLMs with enterprise data MLOps & Infrastructure MLOps: Model versioning, monitoring, logging Bias Detection & Mitigation Content Filtering & Moderation Explainability & Transparency LLM Safety & Guardrails: Hallucination mitigation, prompt validation, safety layers Azure Cloud ...

MLOps/ML Engineer – Details- 6 months IR35: Outside Location: London (1 day/month) Start: ASAPRole Build and maintain end-to-end ML pipelines Deploy models into production using CI/CD, containers, and cloud tooling Implement monitoring, drift detection, and observability Develop retrieval/LLM components using Python … Work with Data Science teams to scale and operationalise models Ensure compliance and governance for models in a regulated insurance environment Requirements Strong MLOps + ML Engineering background Python, ML pipelines, CI/CD, orchestration, monitoring Experience with LLM/NLP integration Knowledge of vector search & embeddings Enterprise/regulated ...

role in transforming and modernising the organisation’s machine learning platform. This role involves collaborating across the business to define and implement MLOps best practices, as well as designing, building, and maintaining the infrastructure required for developing and deploying machine learning models. This is initially a 6 month contract with … machine learning models into production systems, driving innovation and operational excellence within the client. Responsibilities: Contribute to the design and the development of robust MLOps, and Agentic Ops frameworks that will enhance our capabilities and drive value across the company. Take offline models data scientists build and turn them into ...