201 to 225 of 409 MLOps Jobs in London

Experience using Python and R to develop and deploy models in cloud environments (Azure experience is advantageous). Understanding of machine learning lifecycles and MLOps principles. Experience working with databases, APIs and collaborative development tools. Sharp problem‐solving and analytical skills, with attention to detail and sound judgement. Confident communication ...

benchmarks to elevate engineering excellence across the team. Partner with Sales and Tech Leadership to define requirements for high-value opportunities, deploying specialized experts (MLOps, GenMedia, or Agentic systems) to key accounts. Lead technical hiring for FDE, evaluating AI/ML expertise, systems engineering, and coding skills to build ...

plus) and SQL; rigorous evaluation (MAE/RMSE, MAPE, pinball loss) Experience productionising models (APIs/batch jobs), experiment tracking (e.g., MLflow) and basic MLOps Being able to evaluate the right tools for the job given business requirements & experiment with new ways of doing things to continuously improve Comfort combining ...

. Python programming experience is necessary. AI experience consisting of building advanced AI workflows with tools like LangChain, LangGraph, etc. and experience with MLOps tools/environments. Not required but experience with container orchestration (e.g. Kubernetes) and CI/CD pipeline integration is helpful. Proficiency in articulating technical concepts ...

environment Prior experience working with highly imbalanced datasets for binary classification problems Event streaming data engineering tools such as Flink or Spark Experience with MLOps and tools such as Airflow, BentoML and MLFlow Use of Docker CI/CD and SDLC (e.g. JIRA, Git, Jenkins, Octopus) Job type Permanent Skills ...

model lifecycle: problem framing, feature representation, model development, validation, deployment, monitoring, and iteration. Partner closely with Risk Strategy, Operation, MLOps and Data Engineering to ensure models are scalable, explainable, and production-ready in real-time or near-real-time environments (e.g. AWS SageMaker) Act as a technical authority for advanced ...

créer et gérer des logiciels reproductibles, testables et évolutifs, Travailler sur la mise en place et l’utilisation de plateformes ML/IA/MLOps (telles que AWS SageMaker, Kubeflow, AWS Bedrock, AWS Titan), Apporter à nos clients des best practices en termes d’organisation, de développement, d’automatisation ...

Superscript is seeking a Lead Data Engineer to own the data platform, ensuring it powers BI, underwriting models, ML predictions, and data products at scale. You will define the architectural vision, design end-to-end ...

real industrial pilots - and we’re growing the team to take it even further. About The Role We're hiring a Senior Dev/MLOps Engineer to join our Data & Compute Platform team based in London. What You’ll Do Own and manage the full lifecycle of both ML models … powered features to production. Proactively detect, troubleshoot, and resolve infrastructure and model performance issues. Stay up to date with industry best practices in DevOps, MLOps, and infrastructure engineering. Document infrastructure, workflows, and operational procedures clearly and thoroughly. What We're Looking For Proven experience in a senior-level DevOps, MLOps ...

Intact Insurance, formerly RSA, is seeking a Machine Learning Engineer to build and run production-ready ML systems that deliver real business impact. You will partner with Data Scientists and engineering teams to shape the ...

Just Eat Takeaway.com is seeking a Senior Machine Learning Engineer in a hybrid role based in Bristol/London. You will join a cross-functional team to grow product algorithmic recommendations, evolving ML capabilities across ...

create measurable impact. You're comfortable working across the full AI deployment lifecycle from use case discovery and solution architecture to multimodal agent development, MLOps pipeline implementation, and production optimization. You understand what makes agents perform well in production and how to systematically improve quality through observability and evaluation. Experience … custom SDKs (Python, TypeScript) Act as trusted technical advisor to customers, shaping AI strategy and guiding roadmap decisions from concept to production Data Strategy & MLOps Infrastructure Design data architectures with efficient processing pipelines and ingestion workflows for training and inference on aion's platform Implement RAG systems with vector databases ...

delivery of AI projects end to end from the silicon and data center design that underpins AI workloads, through the software and MLOps stack, to the governance frameworks that make AI trustworthy and defensible at scale. This is a technical hardware-and-software architect role, not a strategy-only position. … parallel/high-throughput storage, and orchestration Design the AI software stack: training and fine-tuning pipelines, distributed training frameworks, inference/serving platforms, MLOps/LLMOps tooling, vector databases, and retrieval-augmented generation (RAG) and agentic architectures. Define and AI governance frameworks covering model risk management, responsible AI, data ...

Digital & Platform Services/Data Analytics, you will design, productionize, and operate LLM-powered Agentic Commerce B2B agents on NEO. You will apply MLOps for automation, continuous delivery, and compliance, turning innovative ideas into shipped, production-grade agents. You’ll partner closely with business, product, data science, and engineering teams … Partner with product and business teams to turn use cases into shipped, supported agents Build traditional ML model training pipelines and productionize them using MLOps best practices Develop batch and online inference for ML models Required Qualifications, Capabilities, and Skills MS in Computer Science, Statistics, Mathematics, Machine Learning, or related ...

agent workflows, to design and build working solutions rather than conceptual designs alone. Support early industrialisation of AI solutions, contributing to the adoption of MLOps, LLMOps and AIOps practices such as evaluation, observability, versioning and responsible deployment. Ensure AI solutions meet relevant standards and regulations for security, privacy and responsible … with Azure experience preferred, and an understanding of PaaS, SaaS, real-time and batch processing patterns. Familiarity with Docker, CI/CD, infrastructure approaches, MLOps, LLMOps, AIOps, observability, versioning and production operations would be advantageous. Strong understanding of responsible AI, security, privacy, governance, data lifecycle and data quality considerations, including ...

/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing … culture of continuous learning What we're looking for Deep expertise in Python and ML engineering Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures Track record of leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience ...

lasting impact. At Credera, you will work on diverse client projects, such as building modern, AI-enabled data platforms on AWS using DevOps and MLOps practices, including large, distributed workloads, batch and streaming pipelines, and the data foundations that power machine learning, Generative AI and Large Language Model solutions. Working … DevOps, Jenkins, CircleCI etc.) - Experience building LLM or foundation-model applications using frameworks such as LangChain, vector databases or agentic AI approaches - Experience with MLOps and Infrastructure as Code (Terraform, CloudFormation etc.) for data, analytics and AI services - Experience with data reporting and visualisation tools (Power BI, Tableau, Qlik etc. ...

trusted trade, first time, every time We get to build products that change homes and lives across the country As our next MLOps Engineer, you'll own how machine learning and AI run in production at Checkatrade. You'll turn our Data Scientists' models into live, reliable services, and build … hybrid). The job, unfiltered: Deploy, automate, monitor and retrain ML models, moving refresh frequency towards real-time where it adds value. Set the MLOps standards for the Data Science team: CI/CD, model versioning and reusable patterns that save everyone reinventing the wheel. Build the infrastructure that lets ...

MLOps Engineer (Platform/DevOps) - AI Platform - 3 days per week onsite We're partnering with a leading organisation on a high-profile AI initiative, seeking an experienced MLOps/Platform Engineer to build and scale infrastructure supporting advanced AI solutions. The Role You'll play a key role ...

experiences. You will join a distributed team that values collaboration, curiosity, and customer focus. You will develop advanced ML models, deploy on AWS, apply MLOps, and mentor juniors while translating business needs into scalable technical solutions. #J-18808-Ljbffr ...

powering highly personalised customer experiences, including recommendation algorithms, retrieval systems and LLM-powered conversational AI. You will work closely with Product Managers, Engineers and MLOps to move ideas from experimentation into #J-18808-Ljbffr ...

powering AI-driven payments You'll join an agile team that values innovation, collaboration, and operational excellence, working on MCP servers, Databricks data workflows, MLOps, and responsible AI practices to ensure quality and security across the #J-18808-Ljbffr ...

seeks an AI Engineer to design, build, and operationalize AI/ML solutions for enterprise clients, spanning model selection, data prep, and DevOps/MLOps pipelines. You will tailor deep learning, generative AI, and LLM-based solutions to client needs, work with large datasets, and ensure production-ready outcomes. ...

will collaborate with product, design and other engineers to ship impactful capabilities. You will mentor peers, stay current with advances in LLMs and MLOps, and contribute to a culture of #J-18808-Ljbffr ...

Chase in London is seeking a Software Engineer III to design, build, and deploy scalable AI/ML solutions within the International Consumer Bank MLOps team. You will collaborate with data scientists, PMs, and engineers to translate business initiatives into robust, customer-focused systems. You will deploy secure, reliable ...