126 to 150 of 219 MLOps Jobs in the UK excluding London

networks, graph-based and sequence-based architectures Providing technical leadership to raise levels of expertise and best practices, including mentoring others Working with the MLOps team to drive tooling for rapid model iteration and lifecycle optimisation You should apply if What we’re doing at Monzo excites you. Multiple-year ...

datasets to solve business challenges. Experience within insurance, financial services, or another regulated environment would be beneficial, as would exposure to cloud platforms (AWS), MLOps, GenAI technologies, or equivalent relevant experience. Whatyou'llget for this role: Our purpose - with you today, for a better tomorrow - is a promise we make ...

tested, and well-documented code suitable for long-term ownership and handover. Hands-on experience with production infrastructure, including Docker, Linux, CI/CD, MLOps, cloud platforms, and model serving architectures. Be able to work with state-of-the-art ML libraries to deliver powerful results quickly. Comfortable working ...

quantitative field Cloud data platforms (Snowflake, Databricks, BigQuery, or Azure Synapse) Product analytics instrumentation experience (Amplitude, Mixpanel, Pendo, or custom event pipelines) MLOps - model deployment, monitoring, and retraining in production Experience building propensity or scoring models that integrate into CRM/CS platforms Familiarity with industrial software or enterprise SaaS ...

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 ...

security considerations. Experience using Git and modern software development practices including testing and continuous integration. Knowledge of Agile development methodologies and DevOps/MLOps principles. Strong stakeholder engagement and communication skills with both technical and nontechnical audiences. Degree, Master's qualification or equivalent experience in Artificial Intelligence, Software Engineering, Data … software in C++ within safety-critical environments. Experience defining solution architectures or technical governance. Familiarity with large-scale data management and data-labelling strategies. MLOps experience supporting production AI deployments. Contributions to open-source projects, technical publications or patents. Relevant AI, cloud or Agile certifications. With five strategic offices ...

Productionise PoC/PoV work into hardened solutions with clear non-functional requirements (performance, resilience, cost, security) and defined service ownership Build and maintain MLOps/LLMOps pipelines (CI/CD, automated testing, packaging, promotion/rollback, model/version management) to enable repeatable releases Develop reusable engineering assets (libraries … experience with AI deployment patterns and infrastructure (e.g. containerisation with Docker, orchestration such as Kubernetes, API-based serving, batch/stream inference) Practical MLOps experience: CI/CD for ML, model packaging and release management, automated validation, monitoring, and lifecycle management Working knowledge of ML/DL frameworks and tooling ...

Head of Engineering and Technical Architect Cloud & Platform Integration: Partner closely with our GCP and Data Engineering teams to build seamless LLMOps/MLOps CI/CD pipelines, ensuring scalable and cost‐effective model deployment via Vertex AI and containerized environments. Take ownership of building and maintaining robust LLMOps pipelines. … data warehouse architectures. Hands‐on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps/LLMOps Pipelines: Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning, and containerized workflows using Docker and Kubernetes (GKE/ ...

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 ...

deploy scalable solutions that drive real business value. You will master Python, SQL and cloud platforms, work on generative AI, AI governance and MLOps, gaining hands-on experience across fraud detection, credit risk and customer analytics in a supportive, ethics-first environment. #J-18808-Ljbffr ...

agentic technologies, end‐to‐end. Skills and Experience Proven leadership experience in Gen AI delivery Hands‐on technical understanding of modern AI tooling, MLOps, and model deployment and generative/agentic AI frameworks Commercial mindset, experience bringing AI, including generative, use cases into production Strong communication skills and the ability ...

architectural expertise across AWS and Azure, alongside experience with modern data platforms such as Snowflake and Databricks. Experience with AI/ML, MLOps and responsible AI is important, as is the ability to operate confidently with both technical teams and senior business stakeholders. We're looking for someone ...

using Azure diagnostics and monitoring tools, such as Azure Monitor, Application Insights, or similar services Finetune or optimize SQL query used in application and MLOps for better performance. Monitor and troubleshoot application issues, perform root cause analysis, and implement necessary fixes or improvements Key Requirements: Total Experience: 6-8 Years ...

Lambda, IAM, VPC, KMS, or Bedrock. Experience developing or contributing to scalable architectures for data-driven products or services. Experience working with MLOps practices or machine learning workflows. Experience with containerisation and orchestration technologies. Familiarity with machine learning concepts, statistical techniques, or machine learning frameworks, and experience collaborating with data ...

technical delivery while also leading multiple projects or workstreams in parallel. Desirable • Experience establishing or embedding best practice in ML engineering, software delivery or MLOps within a team or function. • Experience in regulated, enterprise or operationally complex environments. • Experience promoting reuse through shared frameworks, tooling, templates or engineering standards. • Experience ...

engineering, version control and automated testing Data preparation, feature engineering and data quality techniques Machine learning methods, model selection, training and evaluation Deployment patterns, MLOps, monitoring and lifecycle management Cloud, compute and development tools used to deliver AI solutions Responsible AI, security, privacy, safety and regulatory considerations Structured approaches ...

Advanced Python development skills. Experience building scalable AI services and APIs. Strong backend development and integration experience. Knowledge of software engineering best practices and MLOps workflows. Cloud & Infrastructure Experience with Microsoft Azure (preferred), AWS, or Google Cloud Platform. Containerisation using Docker. Orchestration using Kubernetes and/or Azure Kubernetes Service … Desirable Skills: Generative AI product development. Computer Vision and image understanding systems. AI agent frameworks and autonomous workflows. Knowledge graphs and semantic retrieval systems. MLOps and model deployment pipelines. Team leadership or technical management experience. Why join us? We bring together entrepreneurial, tech-driven people to deliver innovative solutions ...

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. ...

Senior MLOps Engineer London (Hybrid) | Salary: up to £85,000 This is an opportunity to join a growing AI and data organisation where your work will directly support the deployment, scalability, and reliability of innovative machine learning solutions. You will play a pivotal role in building the infrastructure that enables … enable successful AI delivery. Contribute to AI governance, best practices, and responsible AI principles across the organisation. Your Skills & Experience Strong commercial experience within MLOps, Platform Engineering, or Infrastructure Engineering supporting machine learning systems. Advanced Python programming skills with a strong software engineering mindset. Hands-on experience with Azure-native ...

develop offerings, and guide the AI strategy and governance for a diverse client base. You will act as a subject-matter expert across GenAI, MLops, data pipelines, and deployment platforms, while mentoring the architect team and fostering innovation within the AI proposition. #J-18808-Ljbffr ...

code, CI/CD pipelines, containerisation and cloud governance to ensure platforms are secure, scalable and auditable, with close collaboration to data engineers, MLOps engineers and solution architects. #J-18808-Ljbffr ...