126 to 150 of 197 MLOps Jobs in the UK

infrastructure every pricing professional aspires to work with: · High-quality, accessible data · A fast, flexible rating algorithm — deploy changes in hours · Machine Learning Operations (MLOps) that enable fast, transparent, and controlled model development · An operating model that gives complete autonomy to pricing professionals to dream up an idea ...

infrastructure every pricing professional aspires to work with: · High-quality, accessible data · A fast, flexible rating algorithm — deploy changes in hours · Machine Learning Operations (MLOps) that enable fast, transparent, and controlled model development · An operating model that gives complete autonomy to pricing professionals to dream up an idea ...

Excellence within IT. This is a hands-on, technically grounded leadership role for an individual who thrives at the intersection of AI product management, MLOps engineering, and cloud architecture. In this role, you will own the end-to-end delivery and lifecycle management of AI-powered products and platforms, from … loops and iterating AI products based on real-world usage and impact Ensure AI products deliver tangible commercial outcomes and align with enterprise strategy MLOps & AI Engineering Design, implement, and manage scalable MLOps pipelines covering model training, evaluation, deployment, monitoring, and retraining Establish and enforce ML governance standards, including model ...

securing data-related business opportunities Expertise across data domains: data strategy, data governance, data privacy, and analytics delivery Strong understanding of data science, AI, MLOps, BI tools, ethics in AI, and analytics operating models Proven ability to lead large-scale data transformation initiatives within Financial Services Bonus Points For Experience ...

securing data-related business opportunities Expertise across data domains: data strategy, data governance, data privacy, and analytics delivery Strong understanding of data science, AI, MLOps, BI tools, ethics in AI, and analytics operating models Proven ability to lead large-scale data transformation initiatives within Financial Services Bonus Points For Experience ...

Tune machine learning methods to best leverage our state-of-the-art processing capabilities Deploy and maintain machine learning methods in a DevOps/MLOps based machine learning environment Create robust high-quality code using test-driven development (TDD) techniques and adhering to the SOLID coding standards Your work will … Director of Technical Underwriting Propose, proof-of-concept, develop, and deliver novel machine learning processes that automate current manual processes, and leverage DevOps and MLOps software. Work in a collaborative environment with data science to help deploy machine learning methods that are state-of-the-art, robust, and future extensible. ...

following predictive modelling techniques; GBMs, Elastic Net GLMs, GAMs, Logistic Regression, Random Forests, Decision Trees, Neural Nets and Clustering Experience in DevOps, or other MLOps and ML Lifecycle stacks Experience with Docker and Kubernetes Experience in creating production grade coding Experience in programming languages (eg Python, PySpark ...

Kantar can rely on , not just prototype with. You'll design and build the foundations that enable production‐grade AI: reusable GenAI components, strong MLOps practices, and cloud‐native services that balance quality, cost, and reliability. Your work will help teams move faster, avoid common pitfalls, and deliver AI solutions … including RAG, embeddings, semantic search, and agent‐based workflows Shaping how GenAI systems handle prompting, grounding, evaluation, reliability, and cost control Building and evolving MLOps pipelines , from experimentation through deployment, monitoring, and iteration Engineering cloud‐native, API‐driven services that integrate AI into production platforms Supporting and guiding other engineers ...

Kantar can rely on , not just prototype with. You'll design and build the foundations that enable production‐grade AI: reusable GenAI components, strong MLOps practices, and cloud‐native services that balance quality, cost, and reliability. Your work will help teams move faster, avoid common pitfalls, and deliver AI solutions … including RAG, embeddings, semantic search, and agent‐based workflows Shaping how GenAI systems handle prompting, grounding, evaluation, reliability, and cost control Building and evolving MLOps pipelines , from experimentation through deployment, monitoring, and iteration Engineering cloud‐native, API‐driven services that integrate AI into production platforms Supporting and guiding other engineers ...

services firm in London is seeking an AI Security Architect to join their Cybersecurity team. This role involves defining AI security architecture and securing MLOps/ML platforms, with responsibilities including data protection, managing identity and access controls, and designing adversarial ML defenses. Ideal candidates will have significant experience ...

leading financial services firm in London is seeking a Director, Cyber Security Architect. This role involves defining enterprise AI security architecture, securing MLOps platforms, and establishing data protection controls. Candidates should have significant cybersecurity experience, particularly in AI/ML and cloud environments. BNY offers competitive compensation, generous benefits ...

design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business and regulatory requirements into scalable, reliable AI systems. This is a hands-on role for someone who enjoys owning … data preprocessing pipelines Monitoring, optimising and maintaining deployed models for performance, cost and reliability Implementing explainability, fairness and bias-mitigation strategies Collaborating on MLOps pipelines, CI/CD workflows and production deployments Mentoring junior engineers and promoting best practices across the team Staying current with advances ...

design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business and regulatory requirements into scalable, reliable AI systems. This is a hands-on role for someone who enjoys owning … data preprocessing pipelines Monitoring, optimising and maintaining deployed models for performance, cost and reliability Implementing explainability, fairness and bias-mitigation strategies Collaborating on MLOps pipelines, CI/CD workflows and production deployments Mentoring junior engineers and promoting best practices across the team Staying current with advances ...

design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business and regulatory requirements into scalable, reliable AI systems. This is a hands-on role for someone who enjoys owning … data preprocessing pipelines Monitoring, optimising and maintaining deployed models for performance, cost and reliability Implementing explainability, fairness and bias-mitigation strategies Collaborating on MLOps pipelines, CI/CD workflows and production deployments Mentoring junior engineers and promoting best practices across the team Staying current with advances ...

impact, working with diverse data types - including text, images, audio, video, and geospatial data - while applying cutting-edge methods in AI, machine learning, and MLOps/LLMOps practices. You'll have the opportunity to: Work alongside leading data scientists, ML engineers, and AI researchers on national security projects Design, develop … traditional ML use cases and GenAI/LLM applications Explore and implement ML and LLM models on complex, multi-modal datasets Apply modern MLOps/LLMOps practices, including experiment tracking, versioning, and deployment on cloud platforms Influence technical direction and best practice in ML and AI engineering Mentor and support ...

This job is with Capgemini, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Data Science Senior Consultant/Senior ...

This job is with Capgemini, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Data Science Senior Consultant/Senior ...

LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Vector DBs & RAG: Designed solutions using vector DBs & Retrieval Augmented GenAI (RAG) for knowledge applications. GenAI ModelOps/MLOps & Governance: GenAI ModelOps/MLOps knowledge with ethical AI governance focus. ER&I GenAI Applications: Applied GenAI to ER&I use cases to create business ...

LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Vector DBs & RAG: Designed solutions using vector DBs & Retrieval Augmented GenAI (RAG) for knowledge applications. GenAI ModelOps/MLOps & Governance: GenAI ModelOps/MLOps knowledge with ethical AI governance focus. ER&I GenAI Applications: Applied GenAI to ER&I use cases to create business ...

LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Vector DBs & RAG: Designed solutions using vector DBs & Retrieval Augmented GenAI (RAG) for knowledge applications. GenAI ModelOps/MLOps & Governance: GenAI ModelOps/MLOps knowledge with ethical AI governance focus. ER&I GenAI Applications: Applied GenAI to ER&I use cases to create business ...

company is a leading global software platform company is transforming how modern organizations build, secure, and deliver software across DevOps, DevSecOps, and MLOps environments. Trusted by thousands of enterprises worldwideincluding many of the largest global organizationsthe platform plays a critical role in securing and accelerating software delivery from code ...

practices across their ML and data setup, ensuring it is ready to support multiple enterprise deployments. Key responsibilities: * Audit current ML architecture, pipelines, and MLOps practices * Identify gaps in documentation, reproducibility, and scalability * Introduce clear structure across model development, versioning, and deployment * Improve training and retraining workflows * Strengthen model monitoring … Python and hands-on ML engineering experience * Proven experience in productionising ML systems end-to-end * Experience auditing and improving existing ML setups * Strong MLOps experience (model versioning, monitoring, CI/CD) * Experience working with data pipelines (ETL/ELT, Spark or similar) * Comfortable working with messy, real-world data ...

including LLM-based patterns such as embeddings, retrieval approaches, and model tuning where appropriate). [Principal_...ad_AI_0426 | Word] Setting engineering standards for MLOps: CI/CD, model deployment, monitoring, evaluation, and operational reliability. Architecting secure, cloud-native services (microservices, APIs, messaging/event-driven patterns) that support … needed Experience building, deploying, and maintaining machine learning and generative AI solutions (e.g., LLMs, embeddings, retrieval patterns, vector search, model fine‐tuning). Strong MLOps knowledge across continuous integration, deployment, monitoring, and evaluation of AI/ML models. Experience with AI infrastructure (orchestration pipelines, GPU compute, model hosting services ...

including LLM-based patterns such as embeddings, retrieval approaches, and model tuning where appropriate). [Principal_...ad_AI_0426 | Word] Setting engineering standards for MLOps: CI/CD, model deployment, monitoring, evaluation, and operational reliability. Architecting secure, cloud-native services (microservices, APIs, messaging/event-driven patterns) that support … needed Experience building, deploying, and maintaining machine learning and generative AI solutions (e.g., LLMs, embeddings, retrieval patterns, vector search, model fine‐tuning). Strong MLOps knowledge across continuous integration, deployment, monitoring, and evaluation of AI/ML models. Experience with AI infrastructure (orchestration pipelines, GPU compute, model hosting services ...

shape this high-growth domain in EMEA. Key job responsibilities - Domain Knowledge and AI/ML Operations Expertise: Deep understanding of MLOps and AI Ops frameworks - Own and execute the end-to-end GTM strategy for Sagemaker AI focusing on AI/ML Ops and GenAI Ops in EMEA - Develop … days are the same. You might start your morning on a deep-dive with a Fortune 500 financial services CTO exploring their MLOps maturity roadmap and AI observability requirements for production-scale deployments. After lunch, you're co-developing a joint GTM motion with a leading systems integrator to accelerate ...