101 to 125 of 269 MLOps Jobs in England

partner with the commercial leadership to deliver high-value AI-driven opportunities that enhance efficiency, customer experience, and growth. Establish best practices for MLOps, experimentation, model monitoring, and continuous optimisation. Data Engineering & Architecture Oversee the design and delivery of scalable, secure, and modern data platforms, pipelines, and architectures. Ensure data ...

technical or business field. Bonus qualifications Experience with AI accelerators or GPUs LLM fine‐tuning or inference knowledge Familiarity with Sambanova products or similar MLOps platforms Enterprise SaaS or PaaS background MBA or advanced technical degree Base Salary Range £94,500—£115,000 GBP Benefits Summary SambaNova offers a competitive ...

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 ...

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 ...

hybrid in London, moving AI from prototype to production across cloud-native platforms. Responsibilities include AI solution design, cloud engineering on GCP, data, MLOps, Responsible AI governance, and collaboration with underwriters and operations. Strong Python and LLM experience required. #J-18808-Ljbffr ...

Perform feature engineering to improve model accuracy Design ML pipelines and automate model deployment Collaborate with software engineers to integrate models into applications Use MLOps practices for monitoring, retraining, and lifecycle management Conduct A/B tests and measure real-world model performance Stay up to date with the latest ...

major impact across product quality, infrastructure efficiency and technical direction. What we’re looking for 5+ years’ experience within Applied AI/ML/MLOps Strong Python and production AI systems experience Experience with LLMs, Generative AI, prompt engineering or agentic workflows Exposure to AI infrastructure, deployment, evals or optimisation ...

degree or equivalent experience. What Will Make You Stand Out: Experience delivering AI and automation initiatives that drive measurable business value. Knowledge of MLOps, AI governance and responsible AI frameworks. Experience building modern, scalable data platforms and architectures. A track record of leading organisational change through data and digital transformation. ...

optimisation). Experience leading or managing data scientists on impactful ML/optimisation projects. Excellent Python and SQL skills, with clean, maintainable code. Practical MLOps experience (deployment, monitoring, lifecycle management) in a cloud environment (AWS or similar). Comfortable working with large, imperfect datasets and making sound, pragmatic decisions. Familiarity ...

would be advantageous Reinforcement Learning Digital Twins Physics-informed Machine Learning Simulation Modelling Control Systems Optimisation Graph Neural Networks Distributed or Federated Machine Learning MLOps or Production ML MSc or PhD in a relevant discipline Why Apply? Work on genuinely novel AI research with real-world impact. Join a well ...

ExperiencedeployingandmanagingAIworkloadswithinproductionenvironments. StrongSQLanddataengineeringskills,workingwithbothstructuredandunstructureddatasets. AbilitytotranslatecomplexdatasetsintoactionableinsightsandAI-drivenbusinesssolutions. ExperienceimplementingAIgovernance,security,monitoring,andoperationalbestpractices. Excellentcommunication,leadership,stakeholdermanagement,andproblem-solvingskills. HighlyDesirable StrongDataSciencebackground,withexperienceinstatisticalmodelling,predictiveanalytics,featureengineering,experimentation,andmodelevaluation. ExperienceapplyingDataSciencemethodologiestosolvecomplexbusinessproblemsandidentifyopportunitiesforAIadoption. ExperiencewithGenAIOps,LLMOps,MLOps,andAIobservabilityplatforms. ExposuretoComputerVision,OCR,VoiceAI,ConversationalAI,ormultimodalAIsolutions. Experienceworkingwithinoperational,retail,automotive,logistics,orcustomer-centricorganisations. KnowledgeofResponsibleAI,AIgovernanceframeworks,andregulatoryconsiderations. PreviousexperienceleadingAIinitiatives,mentoringengineers,orhelpingdefineAIstrategyandroadmap. ExperiencebuildingorcontributingtoanAICentreofExcellenceorinternalAIcapabilityfunction. WhatWe'reLookingFor We'relookingforsomeonewhocombinesdeeptechnicalexpertisewithcommercialawarenessandapragmaticapproachtoAIdelivery.You'llbecomfortableoperatingatbothstrategicandhands-onlevels ...

Build and maintain the model registry and documentation standards: model cards, model risk ratings, validation reports, approval records and change management documentation• Work with MLOps teams to embed governance into the model deployment pipeline: automated validation checks, staging environment requirements and production deployment gates• Manage the model governance committee: chairing ...

platforms, AI‐enabled applications or machine learning solutions into production environments Deep understanding of modern AI architecture patterns and real‐world operational delivery, including MLOps/Evals Strong Python engineering capability and experience working across cloud‐native engineering environments Experience integrating AI capabilities into wider enterprise, cloud and data ecosystems ...

infrastructure strategy for R&D, enabling an integrated ecosystem of Agentic AI solutions. Ensuring robust and scalable delivery of AI capabilities (data foundations, infrastructure, MLOps), with a strong focus on quality, traceability, risk management, and governance readiness. Developing and executing short‐ and long‐term strategies for AI engineering ...

enterprise-scale operating models and shared services environments is beneficial. Required Skills AI & Agent Platforms: Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry Data & MLOps: Databricks, Azure SQL, ADLS, Azure AI Search Cloud & Integration: Microsoft Azure, API Management, Containers Identity & Security: Azure Entra ID, Key Vault, RBAC Observability & Governance: Logging ...

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 ...

solutions are based on sophisticated analytical thought and research. Qualifications & Skills AI/ML Architecture: AI/ML frameworks, multi‐cloud platforms, data architectures, MLOps, and secure, scalable enterprise AI solution design. Enterprise Architecture & Governance: EA frameworks, AI governance, ethical AI, compliance, and alignment to business and IT strategy. Stakeholder ...

technical or business field. Experience with AI accelerators or GPUs. LLM fine‐tuning or inference knowledge. Familiarity with SambaNova products or similar MLOps platforms. Enterprise SaaS or PaaS background. MBA or advanced technical degree (preferred). Base Salary Range Base Pay Range EEO Policy SambaNova Systems is an Equal Opportunity ...

Faculty is seeking a Platform Engineer to build the backbone of applied AI for its customers. You will design, build, and deploy robust, secure cloud infrastructure powering data and ML workflows. Work in a cross ...

Jobtailor in the United Kingdom seeks a senior leader to head Data Science and AI for the Economic Crime Hub, design scalable production-grade AI models, and own their end-to-end lifecycle. You will ...

SwiftCruit is seeking a Staff Software Engineer – Machine Learning to lead ML engineering initiatives while influencing technical strategy. You will drive AI adoption and collaborate with various teams, providing consultancy and mentorship to enhance technical ...

based models Building automated testing, retraining and deployment workflows Monitoring model performance, reliability and infrastructure Managing cloud and inference costs at scale Improving MLOps, CI/CD and engineering standards Working closely with Product, Data Science and Software Engineering teams The strongest candidates are likely to have: Strong commercial Python … engineering experience Experience deploying machine learning models into production Good knowledge of MLOps, model serving and monitoring Experience with AWS or another major cloud platform Docker and containerised application experience Infrastructure as code experience, ideally Terraform or CloudFormation Experience with SQL, PySpark, Databricks or AWS Glue Exposure to Scikit‐learn ...

/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 ...

team’s core toolset, utilising platforms such as Dataiku to streamline model development. Establish and enforce best practices for data workflows, version control, MLOps, data quality and security. Ensure compliance with data protection policies when handling personally identifiable data. Act as the primary bridge between the data team and senior ...

thermal, radar) Model optimisation/deployment tooling (ONNX, TensorRT) Edge deployment experience (e.g., NVIDIA Jetson or other resource-constrained devices) Familiarity with MLOps tooling (e.g., DVC, MLflow) Relevant open-source contributions in computer vision Interested? If this sounds like you, apply with your CV or get in touch to discuss ...