451 to 475 of 746 MLOps Jobs in England

management information and KPIs.Lead, support and encourage initiatives to modernize BAU through AI and data science : automate repetitive tasks, implement workflow optimization, and deploy MLOps practices for reliable model lifecycle management.To be successful in this role, we’re seeking the following: High attention to detail with a desire to pursue ...

qualificationsDegree in Engineering, Telecommunications, Computer Science, Artificial Intelligence or a related discipline, or equivalent practical experience.Professional certifications or continued learning in AI, machine learning, MLOps or AI safety.What's in it for you Competitive salary and bonus opportunity.25 days annual leave with the option to purchase up to 5 additional ...

Engineering, Telecommunications, Computer Science, Artificial Intelligence or a related discipline, or equivalent practical experience. Professional certifications or continued learning in AI, machine learning, MLOps or AI safety. What's in it for you? Competitive salary and bonus opportunity.25 days annual leave with the option to purchase up to 5 additional ...

e.g. RDK-B, OpenWRT, OpenEmbedded, HALs/SDKs).Working knowledge of AI/ML for connectivity platforms (e.g. edge inference, LLM/agentic systems, MLOps and responsible AI).SKILLS & ABILITIESCommunicate clear, concise and technically robust recommendations to both technical and business audiences with different seniority levels.Strong analytical and problem solving ...

e.g. RDK-B, OpenWRT, OpenEmbedded, HALs/SDKs).Working knowledge of AI/ML for connectivity platforms (e.g. edge inference, LLM/agentic systems, MLOps and responsible AI).SKILLS & ABILITIESCommunicate clear, concise and technically robust recommendations to both technical and business audiences with different seniority levels. Strong analytical and problem ...

cloud-first, or AI-first organisations Familiarity with reverse proxy, secure remote access, endpoint and identity integration patterns Ability to interface effectively with DevOps, MLOps, Infrastructure, and Product Engineering teamsExpected competenceSecurity architecture: ExpertZero Trust/IAM design: ExpertThreat modeling: AdvancedStakeholder leadership: AdvancedHow you workYou are likely to be someone ...

designs and ensure strong technical architecture.Drive the transition from experimental AI capabilities to scalable production systems.What We Are Looking ForStrong engineering background (ML engineering, MLOps engineer, or equivalent).Proven experience building complex systems from 01.Ability to independently write production-quality code and build functional prototypes.Practical experience with LLM application architectures ...

ensure strong technical architecture. Drive the transition from experimental AI capabilities to scalable production systems. What We Are Looking ForStrong engineering background (ML engineering, MLOps engineer, or equivalent).Proven experience building complex systems from 01.Ability to independently write production-quality code and build functional prototypes. Practical experience with LLM application ...

Financial Services environmentsConfidence operating across multiple workstreams while building sustainable AI and analytics capability within teamsBonus Points ForHands-on experience with AI product development, MLOps, model lifecycle management or AI platform engineeringKnowledge of responsible AI, model risk management, AI governance or ethical AI frameworksExperience supporting AI strategy, roadmap definition ...

client outcomes.Bonus Points ForExperience supporting business development, proposition development or pre-sales activities within a consulting environment.Hands-on familiarity with modern data science, MLOps, AI operationalisation or cloud-native analytics platforms.Knowledge of responsible AI, AI governance, model risk management or enterprise analytics operating models.Experience supporting organisational change, business analysis ...

lead large-scale, interdisciplinary initiatives in complex, regulated environments. Understanding of the software product development lifecycle; ideally including AI/ML lifecycle, model governance, MLOps, and responsible AI frameworks. Strong leadership, stakeholder engagement, and communication skills. Familiarity with audit processes, information security, and ethical AI implementation are all a strong ...

outcomes. Bonus Points ForExperience supporting business development, proposition development or pre-sales activities within a consulting environment. Hands-on familiarity with modern data science, MLOps, AI operationalisation or cloud-native analytics platforms. Knowledge of responsible AI, AI governance, model risk management or enterprise analytics operating models. Experience supporting organisational change ...

latency requirements without compromising model performance Write clean, well-tested, well-documented code and uphold engineering standards across the team Lead model handovers to MLOps engineers, with thorough documentation covering capabilities, known limitations, failure modes and retraining criteria Stay current with advances in ML engineering, distributed training and biomedical ...

Solution Providers and have set the architectural direction for complex, full-stack AI platforms spanning multiple organisations.You have deep expertise in containerisation, orchestration, and MLOps at scale, and have established the standards others follow.You have a proven track record of developing senior engineering talent, coaching leads and managers, building capability ...

commerce, or subscription-based products. Experience working with large-scale data using PySpark or equivalent distributed data processing tools. Familiarity with production environments, MLOps, or data pipelines. Benefits: Discretionary bonus opportunityPrivate Medical InsuranceDental Scheme25 days holiday per yearOn Site GymSubsidised CaféFree soft drinksOn site barAccess to cycle garage and showersPlease ...

technical advisory, translating complex infrastructure trade-offs into clear, defensible recommendations tied to business outcomes. Define monitoring, observability, and reliability strategy across InfraOps and MLOps, and implement the instrumentation, SLAs, SLOs, and cost/performance governance for production AI/ML systems. Ensure enterprise integration, security, compliance, and regulatory alignment ...

people considerations.Experience working with data platforms, machine learning workflows, and modern software development practices.Experience with Document Intelligence, AI-powered automation, Agentic AI solutions, DevOps, MLOps, and Responsible AI practices.Preferred QualificationsPrevious experience leading managers, team leads, or highly autonomous technical teams.Experience scaling organizations through periods of growth and organizational transformation.Master ...

Experience working with data platforms, machine learning workflows, and modern software development practices. Experience with Document Intelligence, AI-powered automation, Agentic AI solutions, DevOps, MLOps, and Responsible AI practices. Preferred QualificationsPrevious experience leading managers, team leads, or highly autonomous technical teams. Experience scaling organizations through periods of growth and organizational ...

Earth‐system or environmental services, Copernicus, Destination Earth or machine‐learning‐enabled forecasting workflows, including relevant approaches to reproducibility, model versioning, workflow orchestration or MLOps Languages Candidates must be able to work effectively in English. A good knowledge of one of the Centre’s other working languages (French or German ...

teams own the full delivery lifecycle, from early ideas through to production systems that create measurable impact for our customers and the business. As MLOps Engineering Manager, you will help shape how we build, deploy and operate machine learning products at scale, working closely with ML Engineers, Data Engineers, Software … Engineers, Data Scientists, Product Managers and stakeholders across Trainline.In this role as the MLOps Engineering Manager, you will... Build and lead a new team of MLOps Engineers, creating an environment where people can do their best work while delivering meaningful outcomes for customers and the business.Define and evolve MLOps processes ...

defence, government, and national security.Working alongside Data Scientists, Software Engineers, and AI specialists, you'll take projects from experimentation through to production, leveraging modern MLOps and LLMOps practices on AWS to build scalable, secure AI systems.What You'll Be DoingDesign, develop, and deploy machine learning models for traditional … using modern AI frameworks.Lead experimentation cycles, defining hypotheses, running evaluations, and iterating on models before production deployment.Develop robust ML pipelines using AWS services and MLOps tooling.Implement experiment tracking, model versioning, monitoring, and reproducibility best practices.Build feature engineering pipelines and contribute to feature store development.Monitor production models, optimise performance, and drive ...

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 ...

programs; Collaborate with data engineers, clinicians, and business teams to tailor solutions to client needs; Deploy AI and machine learning models in production using MLOps and LLMOps practices; Use cloud platforms and data solutions to ensure scalability and operational integrity; Present data-driven recommendations to senior audiences and demonstrate … real‐world datasets; Familiarity with NLP and deep learning techniques applied to biomedical data; Knowledge of Azure, AWS, or GCP and model deployment using MLOps frameworks; Strong Python and SQL programming skills, with experience in PyTorch, TensorFlow, and Hugging Face; Experience with Databricks, Spark, and other data platforms ...

environments and bare-metal local hardware. API Development: Create high-performance, asynchronous REST and WebSocket APIs using FastAPI to serve real-time conversational agents. MLOps & Infrastructure CI/CD Automation: Design automated machine learning pipelines for model testing, versioning, and continuous deployment. Containerization: Pack applications using Docker or Podman … SageMaker), Azure (Azure ML), and GCP (Vertex AI). CI/CD Tools: Experience with GitLab CI, GitHub Actions, Jenkins, or specialized MLOps platforms (e.g., Kubeflow, MLflow). Preferred Qualifications Conversational Context: Experience with dialogue management, prompt engineering, and Retrieval-Augmented Generation (RAG). Data Analytics: Familiarity with real-time ...

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/ ...