376 to 400 of 635 MLOps Jobs in the UK

technical leadership AWS, CI/CD, APIs, containers and modern programming languages Cloud-native engineering, automated testing, observability and infrastructure as code Developer platforms, MLOps, AI automation or agentic workflows Coaching agile teams and influencing technical and non-technical stakeholders The role offers hybrid working within the UK, with onsite ...

level optimisation Broader ML background spanning areas beyond deep learning Experience with large-scale transactional or financial data Background in ML infrastructure or MLOps Please include a CV in English Curious to learn more about Klarna and what it's like to work here? Explore our career site! klarna.com ...

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 ...

technical foundations that define how machine learning models are delivered and operated in production. Why this role matters As the technical lead within our MLOps function, you will shape how ML is engineered in practice. This role will focus on establishing the standards, patterns, and technical approaches that enable models ...

customer requirements with platform capabilities. AI/ML infrastructure, GPU platforms, distributed training, inference workloads, or high‐performance computing (HPC) environments. Kubernetes platform engineering, MLOps, or cloud‐native platform operations. Infrastructure automation and Infrastructure‐as‐Code technologies. Large‐scale storage, high‐performance networking, or data‐centre infrastructure. Product strategy, roadmap ...

practices across multiple projectsIts a Plus If You Also Have These SkillsExperience building AI platforms or reusable frameworks and patternsFamiliarity with LLMOps/MLOps and production evaluation practiceExperience embedding AI into core business processes or enterprise systemsExperience working in large-scale or regulated enterprise environmentsWhat ...

expertiseA solid understanding of software development lifecycles and engineering practices, including data pipelines, CI/CD, containerisation and observability, with experience or interest in MLOps toolingComfortable supporting others through technical guidance, mentoring or knowledge sharing, and contributing to wider engineering initiatives across ASOSAdditional InformationBeneFITS' Employee discount (hello ASOS discount!) Employee ...

multiple projects**Its a Plus If You Also Have These Skills*** Experience building AI platforms or reusable frameworks and patterns* Familiarity with LLMOps/MLOps and production evaluation practice* Experience embedding AI into core business processes or enterprise systems* Experience working in large-scale or regulated enterprise environments**What ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

combined Team Lead option)* Cellular IoT (LTE-M, NB-IoT, 5G) and wireless connectivity experience* Hardware security and cryptographic implementations (secure boot, secure elements)* MLOps for edge devices: model versioning, telemetry-driven retraining, fleet rollout of models* Experience with driver monitoring, ADAS or other automotive vision applications**Personal Attributes:*** Technically ...

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 ...

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 ...

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 ...

software code development Builds engineering stack required for Data and AIML products, including data engineering, backend engineering, Cloud infra DevOps and MLOps Designs and implements data engineering solutions, leveraging modern big data technologies Contributes to software engineering communities of practice and events that explore new and emerging technologies Embraces … experience developing Production-scale Cloud-native data engineering solutions in commercial environments Familiarity with Cloud Data engineering services (e.g., ETL, Glue, S3, Athena) and MLOps stack Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds Preferred qualifications, capabilities, and skills Experience with data ...