76 to 100 of 115 MLOps Jobs in the UK excluding London

environments Nice to Have Hands-on experience building LLM or agentic AI applications Experience with frameworks such as LangGraph, RAG or MCP Understanding of MLOps and AI deployment practices Experience testing and evaluating non-deterministic AI systems Infrastructure as Code and cloud platform experience, ideally AWS Why Join? Competitive salary ...

degree or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, StatisticsTrack record of developing, deploying business critical machine learning models Broad knowledge of MLOps tooling - for versioning, reproducibility, observability etcExperience monitoring, maintaining, enhancing existing models over an extended time periodSpecialism in NLP or Computer VisionSolid understanding of fundamentals ...

quantitative discipline, e.g. Computer Science, Mathematics, Statistics Track record of developing, deploying business critical machine learning models Broad knowledge of MLOps tooling - for versioning, reproducibility, observability etc Experience monitoring, maintaining, enhancing existing models over an extended time period Specialism in NLP or Computer Vision Solid understanding of fundamentals of statistics ...

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 ...

Orchestration Technologies Security Scanning and Secure Software Development Experience working within Air-Gapped or Highly Secure Environments AI/ML Model Integration or MLOps Experience Strong problem-solving and solution-focused mindset Responsibilities Develop and maintain secure CI/CD pipelines and automation frameworks. Support the integration and deployment ...

Orchestration Technologies Security Scanning and Secure Software Development Experience working within Air-Gapped or Highly Secure Environments AI/ML Model Integration or MLOps Experience Strong problem-solving and solution-focused mindset Responsibilities Develop and maintain secure CI/CD pipelines and automation frameworks. Support the integration and deployment ...

machine learning solutions Advanced proficiency in Python and modern ML libraries and frameworks Experience working with cloud platforms and scalable data systems Understanding of MLOps, model lifecycle, and deployment best practices Ability to collaborate effectively in a cross-functional environment What They Offer Salary up to £120,000 Hybrid working ...

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 ...

e.g., Gurobi, Google OR-Tools) to solve real world problems. Domain Knowledge: Prior experience in the Telecommunications, Utilities, Logistics, or Infrastructure sectors. xlzlddp Cloud & MLOps: Experience developing and deploying production-grade models in cloud environments. ...

take AI agents from research to production Strong knowledge of cloud platforms (e.g., AWS, GCP, Azure), containerization technologies (e.g., Docker, ECS, Kubernetes), and MLOps practices Proficiency in databases (e.g., PostgreSQL, MongoDB) and caching systems (e.g., Redis, Memcached) for scalable data storage and retrieval Familiarity with Python for collaborating on machine … systems for latency, scalability, and cost, applying caching, load balancing, and other performance techniques to support high-volume inference workloads Advocate for and implement MLOps best practices, including monitoring, logging, tracing, automated retraining, and model/prompt versioning to ensure robust and reliable AI systems Build reusable platforms or frameworks ...

driven systems Modern tools: Databricks, Snowflake, Kafka, dbt Cloud engineering maturity: CI/CD, Infrastructure as Code, DataOps, containers AI/ML enablement: Supporting MLOps and advanced analytics platforms Analytics expertise: BI tools and semantic data layers Certifications & frameworks: TOGAF, DAMA, cloud certifications #J-18808-Ljbffr ...

driven systems Modern tools: Databricks, Snowflake, Kafka, dbt Cloud engineering maturity: CI/CD, Infrastructure as Code, DataOps, containers AI/ML enablement: Supporting MLOps and advanced analytics platforms Analytics expertise: BI tools and semantic data layers Certifications & frameworks: TOGAF, DAMA, cloud certifications This role has been deemed Inside IR35 ...

supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into … prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design ...

supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into … prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design ...

take AI agents from research to productionStrong knowledge of cloud platforms (e.g., AWS, GCP, Azure), containerization technologies (e.g., Docker, ECS, Kubernetes), and MLOps practicesProficiency in databases (e.g., PostgreSQL, MongoDB) and caching systems (e.g., Redis, Memcached) for scalable data storage and retrievalFamiliarity with Python for collaborating on machine learning workflows … backend systems for latency, scalability, and cost, applying caching, load balancing, and other performance techniques to support high-volume inference workloadsAdvocate for and implement MLOps best practices, including monitoring, logging, tracing, automated retraining, and model/prompt versioning to ensure robust and reliable AI systemsBuild reusable platforms or frameworks that ...

data science and machine learning, including model development, training, evaluation, and deployment. Experience building and deploying chatbots or conversational AI systems. Knowledge of MLOps tools and pipelines for model versioning and deployment. If you are available and interested in a 6-month Outside IR35 contract, please apply in the first ...

infrastructure every pricing professional aspires to work with: · High-quality, accessible data · A fast, flexible rating algorithm — deploy changes in hours · Machine Learning Operations (MLOps) that enable fast, transparent, and controlled model development · An operating model that gives complete autonomy to pricing professionals to dream up an idea ...

Contribute to best practices around coding standards, maintainability and AI-assisted development Tech Stack Python, SQL, TensorFlow, PyTorch, AWS, Azure, Microsoft Fabric, NLP, LLMs, MLOps What We're Looking For Strong commercial Data Science experience Experience building and deploying ML models into production Strong understanding of predictive modelling … stakeholder management skills Ability to work collaboratively in agile engineering teams Desirable Experience Risk modelling or compliance analytics Supply chain or operational analytics MLOps and CI/CD pipelines Data governance or regulatory environments Why Apply? You'll join a collaborative engineering environment working on genuinely impactful AI projects with ...

Operations teams to solve complex business challenges Mentoring and developing a growing team of Data Scientists Establishing best practice across model development, governance and MLOps Tech Stack Python | SQL | TensorFlow | PyTorch | AWS | Azure | SageMaker | NLP | LLMs | MLOps What we're looking for: Strong commercial Data Science and Machine Learning experience ...

hands on experience delivering machine learning systems in production or a very strong software engineering background with clear motivation to grow into ML and MLOps Desirable skills (strong differentiators): Using AWS SageMaker for training, deploying, and operating machine learning workloads, or demonstrating equivalent experience on similar cloud ML platforms Exposing … machine learning models via APIs (e.g. FastAPI based inference services) and operating them reliably at scale Applying MLOps practices, including model and version management, monitoring, and handling model or data drift Implementing advanced service patterns such as asynchronous processing, event driven architectures, or multi version services Serving LLM or GenAI ...

hands‐on experience delivering machine‐learning systems in production or a very strong software‐engineering background with clear motivation to grow into ML and MLOps\ N\nDesirable skills (strong differentiators):\ N\nUsing AWS SageMaker for training, deploying, and operating machine‐learning workloads, or demonstrating equivalent experience on similar cloud … platforms\ NExposing machine‐learning models via APIs (e.G. FastAPI‐based inference services) and operating them reliably at scale\ NApplying MLOps practices, including model and version management, monitoring, and handling model or data drift\ NImplementing advanced service patterns such as asynchronous processing, event‐driven architectures, or multi‐version services\ NServing ...

ability to drive adoption, influence behaviours, and deliver outcomes at pace Exposure to technologies, modern cloud platforms, customer data platforms, enterprise BI tooling, or MLOps governance environments would be highly advantageous. Why Join? This is an opportunity to define and shape governance strategy during a significant period of enterprise transformation. ...

time, 37.5 hours per week. We are happy to discuss flexible working! Top 3 skills needed for this role: Proven machine learning expertise Strong MLOps and deployment capability Demonstrated stakeholder and influence skills What this role is all about: At Vitality, data scientists and AI Engineers develop and deploy innovative … LlamaIndex, etc.) Proven track record of deploying AI applications into production environments Strong understanding of API development, microservices, and containerization (Docker, Kubernetes) Knowledge of MLOps best practices Excellent problem-solving skills and ability to work in a fast-paced environment So, what s in it for you? Bonus Schemes ...

time, 37.5 hours per week. We are happy to discuss flexible working! Top 3 skills needed for this role: Proven machine learning expertise Strong MLOps and deployment capabilityDemonstrated stakeholder and influence skills What this role is all about: At Vitality, data scientists and AI Engineers develop and deploy innovative … LangChain, LlamaIndex, etc.)Proven track record of deploying AI applications into production environmentsStrong understanding of API development, microservices, and containerization (Docker, Kubernetes)Knowledge of MLOps best practicesExcellent problem-solving skills and ability to work in a fast-paced environment So, what's in it for you? Bonus Schemes – A bonus ...

We're hiring AI Engineers and Technical AI Leaders in Manchester A leading consulting and technology firm is growing its AI capability across financial services and they're looking for engineers who build things that ...