1 to 25 of 305 MLOps Jobs in England

Snowflake, and cloud platforms Implement batch and real-time data processing with structured and unstructured data Deploy solutions on cloud with CI/CD, MLOps tools, and ensure production reliability Collaborate with business teams, ensure compliance, and mentor teams on best practices Your Skills: 7+ years in data engineering ...

tools and web-based products that support forecasting, optimisation, and automated insight. Our projects span machine learning, statistical modelling, data engineering, data visualisation and MLOps, always with a focus on delivering tangible business outcomes. As demand for digital and AI-enabled transformation continues to grow, our Data Science team ...

Learning, Generative AI, or Large Language Models (LLMs) Knowledge of RAG architectures and vector databases Experience with Docker, Kubernetes, and containerised applications Exposure to MLOps and AI deployment pipelines Knowledge of graph databases and knowledge graph technologies Previous experience working within Defence, National Security, or highly regulated sectors Contract Details ...

Jira, Confluence, etc.) Desirable Experience Experience in Banking (essential focus area) Exposure to Model Context Protocol (MCP) Experience in regulated enterprise environments Understanding of MLOps/LLMOps practices Ability to contribute to ROI modelling, business cases, and AI value articulation Experience mentoring or leading delivery teams (Manager level) Role Focus ...

deploying production-grade AI systems using Azure, Databricks and Generative AI tooling Owning the implementation of ML pipelines, APIs and data integration workflows Enforcing MLOps best practices, coding standards, version control and performance optimisation Collaborating cross-functionally with data scientists, product managers, platform engineers, QA and audit professionals Mentoring junior ...

platform capability and implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms ...

platform capability and implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms ...

Experience working with major cloud platforms such as AWS, Azure, or GCP. Familiarity with containerisation and orchestration technologies (e.g. Docker, Kubernetes). Exposure to MLOps practices or deploying AI/ML models into production environments. Experience working in agile or fast-paced delivery teams . ...

CrewAI . Data Architecture: Hands-on experience with Vector Databases (e.g., Pinecone, Milvus, Weaviate) and SQL/NoSQL systems. Infrastructure: Proven track record in MLOps , containerization (Docker/K8s), and cloud platforms (Azure/AWS). Ethical AI: A deep understanding of AI fairness, transparency, and regulatory compliance within ...

Nice to Have Experience with containerization (Docker, Kubernetes). Exposure to DevOps tools (CI/CD pipelines, automation). Knowledge of model deployment or MLOps practices. Knowledge of frontend technologies and frameworks: nextjs, nodejs, TypeScript, React. Experience designing distributed systems and event-driven architectures. What We Offer Collaborative and supportive ...

associated ML/DS libraries (scikit-learn, numpy, LightlGBM, Pandas, LangChain/LangGraph, TensorFlow, etc..) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc. MLOps: Terraform, Docker, Airflow, MLFlow More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans ...

Python, SQL LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases, FastAPI, APIs AWS, Azure, GCP or Databricks CI/CD, MLOps and LLMOps Requirements Strong software or data engineering foundations Experience delivering AI or AI-enabled solutions Exposure to cloud and modern data platforms Financial Services ...

Python, SQL LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases, FastAPI, APIs AWS, Azure, GCP or Databricks CI/CD, MLOps and LLMOps Requirements Strong software or data engineering foundations Experience delivering AI or AI-enabled solutions Exposure to cloud and modern data platforms Financial Services ...

varied stakeholders Desirable Experience Knowledge of Knowledge Graphs and Graph Analytics Experience working within Defence, National Security, Government, or highly regulated environments Exposure to MLOps and model deployment practices Experience with vector databases and semantic search technologies Understanding of AI governance, ethics, and security considerations What's on Offer Hybrid ...

systems Understanding of APIs, distributed systems, microservices, and system design Experience with cloud platforms such as Azure, AWS, or GCP Familiarity with DevOps/MLOps tooling including Docker, Kubernetes, CI/CD, monitoring, and logging Comfortable operating in fast-paced, product-led environments Nice to Have Experience with RAG pipelines ...

ability to work in fast-paced environments. Excellent communication and stakeholder management skills. Preferred Qualifications: Experience with machine learning data pipelines and MLOps practices. Knowledge of data streaming technologies such as Kafka or Kinesis. Familiarity with Terraform or similar infrastructure automation tools. Previous experience working in consulting or client-facing ...

/CD and infrastructure as code. • Experience of optimising systems for performance and scalability and reliability. • Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. • Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift, Athena). • Knowledge of network protocols ...

Multimodal Pipelines - Prior exposure to conversational voice pipelines or multimodal integrations via hyperscaler services. Advanced AI/ML Frameworks - Exposure to frameworks (TensorFlow, PyTorch), MLOps practices, and cloud AI platforms like Google Vertex AI or AWS Sagemaker. Education - BS in Computer Science, Engineering, Data Science, or equivalent technical field. #J ...

Build and maintain scalable ML pipelines and infrastructure for classical ML and deep learning. Deploy models to production using containerisation, CI/CD, and MLOps toolsets; manage ongoing configuration and administration. Develop LLM-based tools using prompt engineering, retrieval, and embedding pipelines for knowledge retrieval and workflow assistance. Build APIs ...

internal stakeholders.** *Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices.** *Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment.** *Experience of appropriate version control and environment management (such as venvs or Docker).** *Experience of writing technical project ...

internal stakeholders.** *Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices.** *Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment.** *Experience of appropriate version control and environment management (such as venvs or Docker).** *Experience of writing technical project ...

internal stakeholders.** *Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices.** *Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment.** *Experience of appropriate version control and environment management (such as venvs or Docker).** *Experience of writing technical project ...

maintain ML solutions on modern frameworks to meet functional business requirements, adhering to software engineering best practices and with exposure to version control, testing, MLOps, CI/CD and API design Hands on experience in using one of 3 major cloud technologies (AWS, Azure or GCP) in a production environment ...

operationalize enterprise‐scale GenAI and agent‐based solutions. Experience with modern AI architectures including Retrieval‐Augmented Generation, agent design, and model orchestration. Familiarity with MLOps/LLMOps frameworks for governance, monitoring, and optimization. Leadership & Communication Exceptional ability to translate complex technical concepts into clear, actionable insights for executive audiences. Strong ...

London | AI Consultancy 📍 Central London (Hybrid - up to 2 days in office) 💰 £110,000-£150,000 + Benefits Skills/Tech: Machine Learning Lifecycle & MLOps | Python & Software Engineering Best Practices | Cloud Platforms (AWS, Azure, GCP) | Architecture & Security | Containers & Orchestration (Docker, Kubernetes) | ML/Statistical Methods | Deep Learning Frameworks (TensorFlow, PyTorch ...