26 to 50 of 226 MLOps Jobs in London

practices. Hands‐on experience with Distributed Training infrastructure (Multi‐node GPU training, Kubernetes, vLLM). Familiarity with Deep Learning frameworks (PyTorch). Experience with MLOps tools and experiment tracking (e.g., ClearML, MLFlow, Weights & Biases). Research Fluency: Ability to read technical research papers and translate them into engineering requirements. ...

build scalable pipelines, develop and evaluate models and help deliver cloud-based AI solutions across Azure, AWS or GCP. You'll also contribute to MLOps practices, support production deployments and work with both structured and unstructured datasets. You'll collaborate closely with engineers, data professionals and business stakeholders to turn ...

following attributes: Experience working with large-scale transactional, behavioural, or operational datasets Experience with cloud platforms such as Azure, AWS, or GCP Knowledge of MLOps, model monitoring, and deployment frameworks Exposure to Generative AI, Large Language Models (LLMs), or modern AI workflows Strong commercial awareness and the ability to translate ...

permitted; govern enterprise knowledge ingestion. Architecture & Integration Distributed systems, microservices, cloud‐native (Azure/AWS/GCP); secure API design (REST/GraphQL). MLOps & AIOps: CI/CD for AI, model lifecycle (eval, versioning, rollout/rollback), guardrails, telemetry, drift monitoring, prompt safety. DevSec & Responsible AI: Privacy‐by‐design ...

PyTorch, or TensorFlow Strong Python skills, with the ability to write clean, modular, production-grade code, and a solid understanding of data engineering and MLOps principles Ability to lead the end-to-end lifecycle of ML initiatives, work independently in ambiguous problem spaces, and mentor and grow other scientists ...

technical design and architecture for data‐science‐enabled applications, ensuring solutions are maintainable, supportable, observable and easy to operate. Productionise delivery with DevOps and MLOps, automating deployment in AWS and putting evaluation, monitoring and provider‐routing controls in place so AI outputs remain reliable and cost‐effective. Scale practical ...

services. Experience designing retrieval‐augmented generation architectures using vector search, embeddings, enterprise data sources, access controls, and secure application integration patterns. Experience with MLOps, including model lifecycle management, CI/CD for ML, feature stores, model monitoring, experimentation, and deployment pipelines. Experience with AIOps, intelligent observability, automated remediation, anomaly detection ...

need to succeed Advanced degree (Master's or PhD) in Machine Learning, Statistics, Physics, Computer Science or similar 8+ years of hands-on experience MLOps, Research Engineering, or ML Research A strong background in mathematics and statistics Strong proficiency in programming languages such as Python, with experience in libraries like ...

directly with senior business stakeholders and translate requirements into build Mentor engineers and squad tech leads to understand and deliver on the architecture Shape MLOps routes to live, CI/CD and generative AI abstraction layers Model the cost, feasibility and risk of different LLMs and implementation approaches THE STACK ...

Extension or Model Context Protocol (MCP) Experience with AWS and infrastructure‐as‐code tools such as Terraform. Experience in multi‐agent orchestration. Familiarity with MLOps practices, including CI/CD for ML, model monitoring, automated deployment, and ML pipelines. Experience with agentic telemetry and evaluation services. #J-18808-Ljbffr ...

need to succeed Advanced degree (Master's or PhD) in Machine Learning, Statistics, Physics, Computer Science or similar 8+ years of hands‐on experience MLOps, Research Engineering, or ML Research A strong background in mathematics and statistics Strong proficiency in programming languages such as Python, with experience in libraries like ...

Model Context Protocol (MCP). Experience with AWS and infrastructure-as-code tools such as Terraform. Experience with multi-agent orchestration. Familiarity with MLOps practices, including CI/CD for ML, model monitoring, automated deployment, and ML pipelines. Experience with agentic telemetry and evaluation services. We recognize that our people ...

concepts. Excellent programming skills in Python. Demonstrated experience in building, validating, deploying, monitoring, and updating production ML and AI models. Hands-on experience with MLOps and AIOps infrastructure and tooling. Proficient in problem-solving and analytical reasoning. Exceptional communication and collaboration skills. Experience with ML frameworks such as TensorFlow, PyTorch ...

environments. Strong knowledge of LLM APIs, prompt engineering, and conversational AI patterns. Experience in fine‐tuning LLMs for domain‐specific enterprise applications. Experience with MLOps and LLMOps, ensuring scalable, reliable, and monitorable model deployments. Worked with agentic frameworks and autonomous agent architectures. Proficiency in Python and modern software development practices ...

software development concepts like CI/CD, Version Control, Containers (Docker & Kubernetes) and proven track record of deploying ML models to production and established MLOps concepts. A good command of analytical programming and visualisation languages and libraries (SQL, python, matplotlib, etc.) as well as some of the supporting tools ...

software development concepts like CI/CD, Version Control, Containers (Docker & Kubernetes) and proven track record of deploying ML models to production and established MLOps concepts. A good command of analytical programming and visualisation languages and libraries (SQL, python, matplotlib, etc.) as well as some of the supporting tools ...

assistants. Familiarity with scientific, biomedical, or scholarly datasets and workflows. Experience with knowledge graphs, ontologies, or semantic enrichment systems. Exposure to production ML systems, MLOps, and AI governance practices. Publications or applied research contributions in NLP, IR, search, recommendation systems, or generative AI. Experience building AI systems in high-trust ...

problem‐solver at heart. Nice to Haves (but we can teach you): You've already worked with Rust in a production environment. Experience with MLOps, particularly the challenges of managing the lifecycle of models in a multi‐tenant, high‐availability system. Familiarity with building ML inference services, model serialization (e.g. ...

analytics Delivering production agentic systems, including RAG pipelines, vector search, and agentic frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, and n8n DevSecOps & DevOps MLOps Infrastructure as Code How You’ll Be Supported At 8th Light, we believe our people are our greatest asset. Their growth, well‐being, and success shape ...

Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns. Experience in fine-tuning LLMs for domain-specific enterprise applications. Strong expertise in MLOps and LLMOps, ensuring scalable, reliable, and monitorable model deployments. Experience with agentic frameworks and autonomous agent architectures. Proficiency in Python and modern software development practices ...

observability, monitoring, alerting, incident response, and troubleshooting complex infrastructure, networking, security, and deployment issues. Desired Technical Skills Experience supporting machine learning workloads or MLOps practices in cloud environments. Experience with modern data lake, streaming, analytics, or cloud‐native BI architectures. Understanding of AWS cost optimisation and FinOps principles. Experience operating ...

track record of developing and deploying models at scale Expertise in Python, ML frameworks (TensorFlow, PyTorch), and experience with cloud platforms Strong familiarity with MLOps principles, CI/CD pipelines, and containerization (Docker, Kubernetes) With preferred backgrounds covering some of the following: Experience with speech‐to‐text or text ...

experience in one or more object-oriented languages (e.g. Python, Go, Java, C++). Advanced SQL knowledge. Experience with modern ML engineering practices including MLOps, model lifecycle management, CI/CD, and monitoring. Knowledge of experimental design, analysis, and scientific methodology. Customer-centric and pragmatic mentality with a focus ...

Chambers & Partners is seeking a Senior DevOps Engineer to architect, scale, and secure our cloud infrastructure. You will drive IaC strategy, build robust GitOps practices, and own CI/CD pipelines in Azure DevOps, supporting ...

monitoring, deployment strategies, containerization) in a cloud environment, preferably AWS and Databricks. Strong understanding of the data science/ML research process, software engineering, MLOps, and DevOps best practices. Strong Python skills, including Pandas, NumPy, scikit‐learn; proficiency in SQL and NoSQL databases. Excellent communication, leadership, and stakeholder management skills. ...