376 to 400 of 704 MLOps Jobs in the UK

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 ...

Elanco is seeking a Lead Engineer to join the Enterprise AI engineering team in the UK, delivering secure, reliable GenAI solutions across the business. You will lead a skilled engineering group, shape the technical roadmap ...

Hippo is a growing digital consultancy delivering transformative digital solutions across public and private sectors in the UK. We seek a Senior Data Science Engineer to lead data-driven projects within multi-disciplinary teams, driving ...

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 ...

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. ...

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. ...

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. ...

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 ...

researchers, data scientists and software engineers to translate business problems into practical AI outcomes, and you will contribute to data pipelines, model training and MLOps practices. #J-18808-Ljbffr ...

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 ...

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. ...

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 ...

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 ...

teams. The role requires a Master’s or PhD in a quantitative field, deep Python/SQL expertise, and strong skills in causal inference, MLOps, and communicating complex concepts to senior #J-18808-Ljbffr ...