276 to 300 of 336 MLOps Jobs in the UK

Role: Principal AI Solutions Consultant (Presales & Value Engineering) Location: London (Hybrid) Experience: 12+ Years Reports to: EVP Solutions & Services (NA & EMEA) Remuneration & Designation: Commensurate with your experience NowVertical is a global, publicly listed company on ...

Find your next tech and IT Job or contract role. Senior DevOps Engineer Responsibilities: Build and maintain production and non‐production environments for high availability and cost optimisation. Build and maintain CI/CD pipelines ...

guide customers in architecting production‐grade ML and AI applications on the Databricks platform. You will collaborate with Solution Architects and drive GenAI adoption, MLOps, and operator tooling across enterprise deployments. You will mentor colleagues, present at conferences, and contribute to the AI roadmap while partnering with customers to deliver ...

partner with Solution Architects to guide enterprise clients in architecting production‐grade ML/AI applications on the Databricks platform. You will advance GenAI, MLOps, and LLMOps, mentor colleagues, and influence the product roadmap while delivering practical tutorials, training, and thought leadership at conferences and #J-18808-Ljbffr ...

trusted technical expert for customers and Field Engineering. You will guide enterprise workloads on the Databricks Data Intelligence Platform, focus on GenAI, ML, MLOps, and LLMOps, and mentor peers while advancing the AI roadmap. You will engage with Solution Architects to design production-grade ML/AI solutions, deliver MVPs ...

applications on the Databricks Data Intelligence Platform, while mentoring peers and shaping AI thought leadership. This role requires deep hands-on experience with ML, MLOps, GenAI, and a passion for sharing knowledge and driving #J-18808-Ljbffr ...

leadership across the full lifecycle of machine learning systems while architecting production-grade ML solutions. You will work with AWS SageMaker, lead teams on MLOps strategies, and ensure systems adhere to governance standards. This is a hands-on, technical position ideal for those with deep expertise in ML frameworks such ...

Machine Learning Engineer (Python AWS MLOps) London/WFH to £60k Are you a Machine Learning technologist with strong Python and AWS skills? You could be progressing your career working on bleeding edge, Machine Learning and AI powered, audio fraud detection software used by all UK banks, the emergency services ...

world. This is a role for someone who shows up with substance, who can hold a real conversation about model training and MLOps tooling in the morning and cluster networking in the afternoon, and who finds the space between infrastructure and application more interesting than either on its own. About … Account Solution Architect covering Northern EMEA, you’ll move across the full stack depending on what the customer needs, from ML training workflows and MLOps platforms like Weights & BIAS to bare metal GPU infrastructure and physical AI deployments. This isn’t a role built around a single layer ...

operate in production-focused environments where platform usability and operational excellence matter. The work sits at the intersection of platform engineering, DevOps and MLOps, with close collaboration across data science, ML engineering, software engineering and architecture. The role requires comfort working 'in the weeds' - understanding how platforms behave under real … guardrails that balance flexibility for users with reliability, security and governance. What You'll Be Doing - Provide technical leadership across platform engineering, DevOps, and MLOps activities - Design, build, and operate a Kubernetes-based MLOps platform that supports the full model lifecycle - Implement and operate MLOps tooling and frameworks enabling teams ...

CreateFuture is seeking a Lead MLOps Developer to own the design and delivery of a production-grade ML platform on AWS. You will migrate a 12-model production suite to SageMaker, define governance gates, and build CI/CD pipelines for model promotion. You will lead the creation of reusable … MLOps patterns, write runbooks for data science teams, and communicate risk and parity trade-offs to stakeholders. Hybrid/remote options available in the UK. #J-18808-Ljbffr ...

Requirements 10+ years of experience in AI/ML engineering, data science, AI solution architecture, or senior technical leadership roles. Deep expertise in ML, MLOps, AI engineering, and GenAI—including model architectures, evaluation methods, guardrails, and deployment patterns. Strong presence, communication skills, and credibility in front of executives, technology leaders … sales engagements, including proposals, RfPs, solution visioning, demos, and technical storytelling. Shape Vector8’s AI point of view, frameworks, and best practices in ML, MLOps, and GenAI. Ensure High-Quality Delivery Across the AI Lifecycle Establish high standards for engineering excellence, model quality, solution robustness, and responsible AI practices. Foster ...

enterprise sales cycles and co‐own the technical win Lead deep technical discovery sessions with a wide range of stakeholders (from ML Engineers to MLOps leaders) to not only uncover business pain but to architect a complete technical solution and integration path Architect, build, and deliver highly‐technical, customised product … delivery in a complex enterprise sales environment Proven track record of earning trust with highly technical audiences (ML engineers, MLOps, data engineers) while communicating value clearly to senior business stakeholders Experience navigating enterprise security, compliance, and architecture reviews as part of a technical sales or implementation process Prior experience ...

transparency, fairness, and? appropriate use of data.? Define advanced experimental designs, lead A/B testing, develop and? maintain metrics and dashboards,? establish robust? MLOps practices, and own end-to-end? productionisation from data ingestion through deployment and ongoing model monitoring.? Design, architect, and? operate low latency,? highly reliable cloud … strong hands-on use of ML/DL frameworks (e.g.,? PyTorch , TensorFlow), including taking models from experimentation into production model serving.? End-to-end? MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices.? Proven technical leadership experience including ...

scale production-grade models and AI systems across the Economic Crime Hub. You will own the end-to-end lifecycle, establish standards for MLOps, and collaborate with Analytics, Product, and Technology teams to deliver automated decisioning. The role requires leadership of a multi-disciplinary DS/ML/MLops team ...

At Gigaton, we’re on a mission to cut gigatonnes of carbon emissions from the world’s biggest emitting industries (like cement, steel and glass), by building autonomous AI control and optimisation systems that learn ...

Trainline in London is seeking an experienced MLOps Engineering Manager to build and lead a new team of engineers. You will shape deployment, observability, and scalable machine learning systems across the platform. You will collaborate with ML Engineers, Data Engineers, Software Engineers, Data Scientists, Product Managers and stakeholders to deliver ...

CreateFuture, a leading UK digital consultancy, is hiring a Lead MLOps Developer to own the design and delivery of a production-grade ML platform on AWS. You will lead the migration of a 12-model production suite to SageMaker, build CI/CD pipelines, and enforce security and governance across ...

GenAI capabilities across our business, delivering secure and reliable AI solutions for animals and customers. The role requires deep expertise in NLP, LLMs, and MLOps, plus modern cloud architectures. Hybrid work is available with three days per week in the Hook office, UK. #J-18808-Ljbffr ...

enterprise customers in architecting production‐grade ML and AI applications on the company Data Intelligence Platform. You will also advance expertise in GenAI, ML, MLOps, and LLMOps. #J-18808-Ljbffr ...

human-centric AI, seeking a Software Engineer (AI Platform) to build and maintain the AI infrastructure platform for production-grade ML products, emphasizing MLOps tooling, scalable deployment, and multi-cloud integration. You will design infrastructure-as-code, container orchestration, and DevSecOps processes, collaborating with a small, fast-moving team ...

high-performance team with a clear pipeline of talent and technical growth. Scaling & Reliability: Implementation, in collaboration with the Engineering team, of robust build, MLOps and architectural standards that enable rapid experimentation, build and deployment cycles and that ensure model reliability, observability, and reusability Trusted Adviser Status: The extent … accountable for their technical growth and for maintaining a "T-shaped" culture that combines both broad and deep technical/business expertise. Technical Standards & MLOps: Own the technical architecture and MLOps lifecycle for data science. In collaboration with the Data Engineering and AI Platform teams, you will drive excellence ...

solutions into production environments to deliver reliable, high-performing outcomes that support business objectives at scale. Establish and enforce standards for model development, MLOps, monitoring, and lifecycle management. Partner with Analytics, Product, and Technology teams to translate decision strategies into automated, production-grade solutions with technical feasibility, scalability, and integrity. … Build and lead a multi-disciplinary Data Science capability, encompassing Data Scientists, ML Engineers, and MLOps specialists, ensuring strong technical depth, continuous development, and clear progression across the function. Act as the single-threaded owner for the automation of decision-making, translating analytical logic and decision strategies into production-grade ...

deliver reliable, high-performing outcomes that support business objectives at scale. You’ll also establish and enforce standards for model development, Machine Learning Operations (MLOps), monitoring, and lifecycle management, while partnering closely with Analytics, Product, and Technology teams to translate decision strategies and decision intent into automated, production-grade solutions … ensuring technical feasibility, scalability, and integrity. Moreover, you’ll build and lead a multi-disciplinary Data Science capability, encompassing Data Scientists, ML Engineers, and MLOps specialists, ensuring strong technical depth, continuous development, and clear progression across the function. In addition, you’ll be: Acting as the single-threaded owner ...

deliver reliable, high-performing outcomes that support business objectives at scale. You’ll also establish and enforce standards for model development, Machine Learning Operations (MLOps), monitoring, and lifecycle management, while partnering closely with Analytics, Product, and Technology teams to translate decision strategies and decision intent into automated, production-grade solutions … ensuring technical feasibility, scalability, and integrity. Moreover, you’ll build and lead a multi-disciplinary Data Science capability, encompassing Data Scientists, ML Engineers, and MLOps specialists, ensuring strong technical depth, continuous development, and clear progression across the function. In addition, you’ll be: Acting as the single-threaded owner ...