126 to 150 of 271 MLOps Jobs in the UK excluding London

assurance environments (e.g. financial services). An understanding of the latest AI safety research and active involvement in that community. Deep knowledge of modern MLOps practices, CI/CD, and large-scale deployments. A collaborative and supportive work environment The opportunity to have a high impact in a growing organisation ...

Splunk, Cloudwatch, Sumologic etc.Extensive understanding of networking and security concepts.Bonus Points For:Specialized SRE observability experience with New Relic or DataDog.Familiarity with OpenTelemetry, AIOps, MLOps, or SecOps.Logistics:Location: Newcastle, UK - In-Office (at least 4 days per week at the office)Why You'll Love Working With UsAt Trimble ...

Event Hubs, or Kinesis for real-time data processing Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores and MLOps pipelines Experience processing and managing unstructured data types (text, images, logs, sensor data) Understanding of Lambda and Kappa architectural patterns and when to apply each ...

Event Hubs, or Kinesis for real-time data processing Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores and MLOps pipelines Experience processing and managing unstructured data types (text, images, logs, sensor data) Understanding of Lambda and Kappa architectural patterns and when to apply each ...

Head Resourcing Ltd is recruiting an experienced AI/Machine Learning Engineer Contractor in Glasgow on a hybrid basis. The initial contract is 3 months with the potential to extend, paying up to £500 per ...

growth over the last few years and we’re looking to continue with this momentum as we build on our reputation as Open Source MLOps and applied AI experts, expand our role within the community, and continue to deliver high-quality solutions to our clients. What we’re looking … also enjoy being part of a culture that values: Loving what we do: a real passion for open source, applied AI, MLOps, and taking pride in our work. Just trying it: AI is moving quickly. We love to develop new skills, solve new problems and thrive on a challenge. Being ...

into complex enterprise workflows.Bridge Design & Implementation: Oversee the full technical lifecycle, from selecting the right model architectures to ensuring robust CI/CD and MLOps pipelines.Inference & Infrastructure: Deploy and optimise models using cloud services like AWS Bedrock and Azure AI Foundry, or self-host them on GPU/CPU hardware … Evaluation: Implement frameworks and approaches to evaluate model performance against business objectives, both pre-deployment and on an ongoing basis as part of the MLOps lifecycle.Drive System Performance: Assess and optimise for performance, cost-efficiency, and reliability, ensuring AI outputs meet the rigorous standards required for our Security & Justice clients.System ...

into complex enterprise workflows.Bridge Design & Implementation: Oversee the full technical lifecycle, from selecting the right model architectures to ensuring robust CI/CD and MLOps pipelines.Inference & Infrastructure: Deploy and optimise models using cloud services like AWS Bedrock and Azure AI Foundry, or self-host them on GPU/CPU hardware … Evaluation: Implement frameworks and approaches to evaluate model performance against business objectives, both pre-deployment and on an ongoing basis as part of the MLOps lifecycle.Drive System Performance: Assess and optimise for performance, cost-efficiency, and reliability, ensuring AI outputs meet the rigorous standards required for our Security & Justice clients.System ...

into complex enterprise workflows.Bridge Design & Implementation: Oversee the full technical lifecycle, from selecting the right model architectures to ensuring robust CI/CD and MLOps pipelines.Inference & Infrastructure: Deploy and optimise models using cloud services like AWS Bedrock and Azure AI Foundry, or self-host them on GPU/CPU hardware … Evaluation: Implement frameworks and approaches to evaluate model performance against business objectives, both pre-deployment and on an ongoing basis as part of the MLOps lifecycle.Drive System Performance: Assess and optimise for performance, cost-efficiency, and reliability, ensuring AI outputs meet the rigorous standards required for our Security & Justice clients.System ...

into complex enterprise workflows.Bridge Design & Implementation: Oversee the full technical lifecycle, from selecting the right model architectures to ensuring robust CI/CD and MLOps pipelines.Inference & Infrastructure: Deploy and optimise models using cloud services like AWS Bedrock and Azure AI Foundry, or self-host them on GPU/CPU hardware … Evaluation: Implement frameworks and approaches to evaluate model performance against business objectives, both pre-deployment and on an ongoing basis as part of the MLOps lifecycle.Drive System Performance: Assess and optimise for performance, cost-efficiency, and reliability, ensuring AI outputs meet the rigorous standards required for our Security & Justice clients.System ...

Senior MLOps & Data EngineerLocation: Oxford Based (Hybrid)Type: PermanentSalary: 90,000 - 120,000 + Bonus + Equity + BenefitsThe Opportunity We're supporting an innovative biotechnology organisation that is investing heavily in the next generation of data, machine learning and scientific computing capabilities.As part of a growing technology team … workflow automation and machine learning operations. You will help transform research and analytical workflows into reliable, secure and scalable production systems.ResponsibilitiesDesign and build scalable MLOps infrastructure to support model deployment, monitoring, retraining and lifecycle management.Productionise machine learning and scientific computing workflows using Python, container technologies and modern software engineering practices.Develop ...

Senior MLOps & Data EngineerLocation: Oxford Based (Hybrid)Type: PermanentSalary: 90,000 - 120,000 + Bonus + Equity + BenefitsThe Opportunity We're supporting an innovative biotechnology organisation that is investing heavily in the next generation of data, machine learning and scientific computing capabilities. As part of a growing technology team … automation and machine learning operations. You will help transform research and analytical workflows into reliable, secure and scalable production systems. ResponsibilitiesDesign and build scalable MLOps infrastructure to support model deployment, monitoring, retraining and lifecycle management. Productionise machine learning and scientific computing workflows using Python, container technologies and modern software engineering ...

with governance. You will collaborate with stakeholders, promote best practices in SQL, Python, data modelling and AI development, and drive adoption of AI and MLOps to deliver innovative #J-18808-Ljbffr ...

developing Data Science teams Advanced Python and SQL skills Expertise in supervised and unsupervised machine learning techniques Experience deploying models into production environments using MLOps practices Strong communication skills with the ability to influence technical and non-technical stakeholders What They Offer Performance-related bonus Private healthcare and additional benefits ...

infrastructure Desirable attributes: Hands‐on experience building LLM‐based systems Experience testing non‐deterministic systems Understanding of statistics and inferential methods LangGraph, RAG, MCP, MLOps, IaaC, AWS What we offer Private Medical Insurance Dental Insurance Parental Support Salary‐Exchange Pension Employee Assistance Programme (EAP) Local Oxford Discounts Cycle‐to‐work ...

agentic AI initiatives.Exposure to enterprise AI platforms such as Microsoft Copilot Studio, Power Platform, Power Automate, Azure AI, or similar ecosystems.Familiarity with SDLC, DevOps, MLOps, AI governance frameworks, or model lifecycle management.Experience leading or mentoring junior Business Analysts.Knowledge of project planning disciplines and broader programme delivery methodologies.Experience developing dashboards, reporting ...

Fuzzy Labs, a Manchester-based tech consultancy, seeks a Lead Applied AI Engineer to guide squads, own client projects from discovery to production, and shape technical direction. You'll mentor engineers, collaborate with customers, and ...

hackajob is partnering directly with Rentokil Initial to hire for this role. As part of our Group AI Team, we are scaling our internal capabilities to deliver cutting-edge, production-grade AI solutions across our ...

organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building … Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data ...

Smart (Smart Test, Smart Audit and Smart Shield), Employee Document Management and Pay Transparency Analyzer. This is an opportunity to build foundational skills in MLOps, cloud deployment, and software engineering practices while contributing to real-world AI solutions that enhance our Workday product offerings. Essential Experience: Typically 2+ years … guidance. Some exposure to deploying or supporting AI/ML models — through academic projects, internships, or early career experience — with an interest in developing MLOps skills (CI/CD, model versioning, monitoring). Awareness of responsible AI, security, and data privacy practices, with the ability to follow agreed guidelines such ...

Smart (Smart Test, Smart Audit and Smart Shield), Employee Document Management and Pay Transparency Analyzer. This is an opportunity to build foundational skills in MLOps, cloud deployment, and software engineering practices while contributing to real-world AI solutions that enhance our Workday product offerings. Essential Experience: Typically 2+ years … guidance. Some exposure to deploying or supporting AI/ML models — through academic projects, internships, or early career experience — with an interest in developing MLOps skills (CI/CD, model versioning, monitoring). Awareness of responsible AI, security, and data privacy practices, with the ability to follow agreed guidelines such ...

maintain end-to-end AI/ML pipelines in Microsoft Fabric Design, train, deploy, and monitor machine learning and deep learning models Implement MLOps best practices: versioned data & features, CI/CD pipelines, model promotion, and rollback Collaborate with data scientists, analytics engineers, product managers, and developers to turn business … augmented generation Knowledge of AutoML, hyperparameter tuning and advanced MLflow features Experience with streaming and real-time data platforms Familiarity with CI/CD, MLOps and deployment pipelines (Azure DevOps, GitHub Actions, Docker) Commercial awareness in e-commerce, travel or holiday-lettings sectors Experience mentoring others or leading technical workstreams ...

Agentic AI solutions. The ideal candidate brings a balanced mix of modern AI/ML delivery (LLMs/SLMs, RAG, tool-using agents, evaluation, MLOps) and backend/service engineering (Java and/or Python, APIs/microservices, testing, CI/CD, observability, reliability) on AWS and cloud-native platforms.This … automated evaluation to improve quality over time.Build and maintain data pipelines and processing workflows required for ML/GenAI use cases using cloud services.Apply MLOps practices across the lifecycle: experimentation, versioning, CI/CD, deployment, monitoring, and maintenance for models/prompts/agents.Implement robust testing (unit/integration), performance ...

Allianz UK Personal is looking for a Lead Data Engineer (MLOps) to further enhance our MLOps capability.Where and how you can workThis is a hybrid role at one of our offices in London, Bristol or Bournemouth and you’ll be required to come into the office two days per month.Salary … total reward package.About the teamYou’ll join an agile, stream-aligned team, working with technical and business stakeholders to deliver Data Science & MLOps products that drive commercial value.The team is ambitious – continuously raising the bar on what our products can deliver for the business and our customers.About the RoleWe ...

Allianz UK Personal is looking for a Lead Data Engineer (MLOps) to further enhance our MLOps capability.Where and how you can workThis is a hybrid role at one of our offices in London, Bristol or Bournemouth and you’ll be required to come into the office two days per month.Salary … total reward package.About the teamYou’ll join an agile, stream-aligned team, working with technical and business stakeholders to deliver Data Science & MLOps products that drive commercial value.The team is ambitious – continuously raising the bar on what our products can deliver for the business and our customers.About the RoleWe ...