176 to 195 of 195 MLOps Jobs in the UK

impact Own delivery of multiple strategic projects, managing priorities and stakeholders effectively Work closely with engineering teams to deploy models into production using modern MLOps practices Influence senior stakeholders, clearly communicating insights and driving adoption of AI solutions Contribute to the wider AI strategy, identifying new opportunities and driving innovation … experience Exposure to generative AI, recommendation systems or reinforcement learning Experience working in regulated or customer-centric industries Familiarity with modern data platforms and MLOps tooling What's on offer Competitive base salary with performance-related bonus Strong pension contribution Comprehensive private healthcare and wellbeing benefits Flexible working environment Clear ...

This job is with WTW, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Description This role will primarily focus ...

member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Job Title: Lead MLOps Engineer Location: UK Wide. We offer a range of hybrid and flexible working arrangements – please speak to your recruiter about the options for this particular role Salary ...

develop reference architectures, guardrails, and standards for secure data pipelines, model training/inference, and AI-integrated applications across on-prem and cloud.* Secure MLOps/ML platforms: architect identity, secrets management, network segmentation, and least-privilege access for feature stores, model registries, orchestration, and deployment pipelines.* Data protection …/HSM), network segmentation, and policy-as-code.* Strong knowledge of AI/ML workflows: data ingestion/feature engineering, model training/inference, MLOps tooling (model registry, orchestrators, serving).* Practical experience with adversarial ML concepts and defenses; familiarity with model robustness, prompt injection risks, and secure evaluation methods.At ...

essential. You will manage secrets and access through Azure Key Vault and Azure AD, support hybrid connectivity using GreenLink, and collaborate closely with MLOps and Data Engineering teams to deliver reproducible, auditable infrastructure. The role also includes monitoring system health using tools such as Azure Monitor, Prometheus, and Grafana Core … using Azure Key Vault and Azure AD Ensuring connectivity between on-prem services and Azure cloud infrastructure using GreenLink and hybrid networking Collaborating with MLOps and Data Engineers to ensure reproducible, reliable, and auditable infrastructure across environments Monitoring system health, logging, and metrics using platform observability tools (e.g. Azure Monitor ...

Machine Learning Ops Engineer Role Overview Were hiring an ML Ops Engineer to own the reliability, scalability, and operational integrity of our machine-learning systems in research & production. This role sits at the intersection of ...

This job is with Aristocrat, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. As the Manager of Data Science ...

I am recruiting for a Data Scientist to work on a hybrid basis - 2-3 days in London, remaining time remote. The role falls inside IR35 so you will be required to work through an ...

leading data consultancy in Edinburgh is seeking an experienced MLOps Engineer to design, build, and operate ML infrastructures. This role involves managing the lifecycle of ML models and collaborating with dynamic project teams to deliver scalable solutions. The ideal candidate should have experience with tools like MLflow, Python, and cloud ...

ingestion pipelines to the deployment of advanced GenAI models. This is a hands-on leadership role requiring a deep understanding of modern data architecture, MLOps, and the orchestration of agentic workflows. Key Responsibilities Lead Delivery: Oversee the end-to-end lifecycle of data-intensive platforms and AI solutions aligned with … architecture. Technical Direction: Provide guidance across cloud engineering, data modeling, and ML model monitoring. Engineering Excellence: Enforce best practices in coding standards, DevOps/MLOps pipelines, and automated SDLC. Stakeholder Management: Translate complex business requirements into actionable technical backlogs for engineering teams. Innovation: Evaluate emerging GenAI/LLM tech ...

develop reference architectures, guardrails, and standards for secure data pipelines, model training/inference, and AI-integrated applications across on-prem and cloud. Secure MLOps/ML platforms: architect identity, secrets management, network segmentation, and least-privilege access for feature stores, model registries, orchestration, and deployment pipelines. Data protection …/HSM), network segmentation, and policy-as-code. Strong knowledge of AI/ML workflows: data ingestion/feature engineering, model training/inference, MLOps tooling (model registry, orchestrators, serving). Practical experience with adversarial ML concepts and defenses; familiarity with model robustness, prompt injection risks, and secure evaluation methods. ...

experienced Data Scientists) who are already delivering ML solutions on Databricks . This role is focused on raising standards, optimising production ML, and strengthening MLOps capability - you'll need the technical depth and credibility to influence teams whose work will be scrutinised. The Role You'll partner with mature … optimisation, evaluation) Strong Deep Learning experience (neural networks, modern architectures) Strong Databricks experience (working in teams delivering ML on the platform) Deep understanding of MLOps (production systems, scaling, reliability, monitoring, reproducibility) Proven technical credibility-able to influence experienced ML teams confidently Excellent communication and stakeholder engagement Nice to Have GenAI ...

About the Team : You'll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machine learning ...

company is a leading global software platform company is transforming how modern organizations build, secure, and deliver software across DevOps, DevSecOps, and MLOps environments. Trusted by thousands of enterprises worldwideincluding many of the largest global organizationsthe platform plays a critical role in securing and accelerating software delivery from code … Bitbucket) Security technologies such as SCA, SAST, SBOM management, and container security Background in software development is a strong advantage Experience or exposure to MLOps is a plus ...

A pioneering eCommerce solutions provider in London seeks a Head of Data Science to lead data-driven initiatives. The successful candidate will have strong leadership experience and a profound technical understanding of data science, machine ...

Machine Learning Ops Engineer Role Overview Were hiring an ML Ops Engineer to own the reliability, scalability, and operational integrity of our machine-learning systems in research & production. This role sits at the intersection of ...

hiring for - Senior MLOps/Python Cloud Engineer job location : London UK Job Type : Permanent job details: We are hiring a Senior MLOps/Python Cloud Engineer The project centres on building a next-generation parametric pricing engine taking a robust Python prototype and transforming it into a production-grade ...

client is a leading global software platform company transforming how modern organizations build, secure, and deliver software across DevOps, DevSecOps, and MLOps environments. Trusted by thousands of enterprises worldwide including many of the largest global organizations the platform plays a critical role in securing and accelerating software delivery from code … Bitbucket) Security technologies such as SCA, SAST, SBOM management, and container security Background in software development is a strong advantage Experience or exposure to MLOps is a plus Diversity & Inclusion Our client is committed to fostering a diverse, inclusive, and equitable workplace . They believe that diverse perspectives drive better ...

company is a leading global software platform company is transforming how modern organizations build, secure, and deliver software across DevOps, DevSecOps, and MLOps environments. Trusted by thousands of enterprises worldwideincluding many of the largest global organizationsthe platform plays a critical role in securing and accelerating software delivery from code … Bitbucket) Security technologies such as SCA, SAST, SBOM management, and container security Background in software development is a strong advantage Experience or exposure to MLOps is a plus ...

supportive, inclusive, and collaborative community across data, engineering, security, and product teams. You will guide delivery teams on AI patterns and best practices, including MLOps, LLMOps, evaluation, monitoring, and responsible AI. You will influence stakeholders through evidence‐based architectural recommendations and help deliver AI capabilities that can be operated safely … continuous compliance. Own end-to-end AI lifecycle including model and agent selection, deployment, monitoring, governance, versioning, upgrades, and decommissioning. Establish standards for MLOps, AgentOps, and AI governance. Act as a business and portfolio SME for AI architecture. Baseline organisational AI skills, capabilities, and maturity, and define uplift roadmaps. Translate ...