351 to 375 of 871 MLOps Jobs in the UK

applications and AI assistants.Familiarity with scientific, biomedical, or scholarly datasets and workflows.Experience with knowledge graphs, ontologies, or semantic enrichment systems.Exposure to production ML systems, MLOps, and AI governance practices.Publications or applied research contributions in NLP, IR, search, recommendation systems, or generative AI.Experience building AI systems in high-trust, regulated ...

assistants.* Familiarity with scientific, biomedical, or scholarly datasets and workflows.* Experience with knowledge graphs, ontologies, or semantic enrichment systems.* Exposure to production ML systems, MLOps, and AI governance practices.* Publications or applied research contributions in NLP, IR, search, recommendation systems, or generative AI.* Experience building AI systems in high-trust ...

Trips vertical. Talent Multiplier: Mentor and coach senior and mid‐level ML scientists. Foster a culture of technical excellence, driving best practices for MLOps, rigorous A/B testing, data privacy, and code quality. Skills & Experience: Education: Ph.D. or Master’s degree in Computer Science, Machine Learning, Statistics ...

within the Trips vertical.Talent Multiplier: Mentor and coach senior and mid-level ML scientists. Foster a culture of technical excellence, driving best practices for MLOps, rigorous A/B testing, data privacy, and code quality.Skills & Experience:Education: Ph.D. or Master’s degree in Computer Science, Machine Learning, Statistics ...

Trips vertical. Talent Multiplier: Mentor and coach senior and mid-level ML scientists. Foster a culture of technical excellence, driving best practices for MLOps, rigorous A/B testing, data privacy, and code quality. Skills & Experience: Education: Ph.D. or Master’s degree in Computer Science, Machine Learning, Statistics ...

AXA Group is seeking a Lead Data Scientist to drive high-impact data science initiatives across the business. You will lead projects from conception to deployment, build scalable ML models, and mentor a squad of ...

Just Eat Takeaway.com is looking for a Senior Engineer to join their Enterprise AI team in Greater London. The role involves designing and deploying AI-powered solutions, leading projects, and mentoring team members on best ...

operationalization, utilizing cloud-native services (e.g., serverless, containerization, managed AI/ML platforms) and CI/CD pipelines for accelerated delivery. Implement robust MLOps practices to streamline model deployment, monitoring, and lifecycle management in cloud environments, including data versioning, feature store integration, and data pipeline management.Business Partnership & Solution Architecture: Collaborate … existing systems and workflows within the Goldman Sachs ecosystem. Apply strong software engineering principles, data modeling best practices (e.g., relational, NoSQL, graph), DevOps/MLOps best practices, and cloud security standards. Drive automation of deployment, testing, and monitoring processes to ensure rapid and reliable delivery of AI applications.Knowledge Transfer & Enablement ...

Design and implement reusable data products, semantic models and analytics capabilities that support reporting, machine learning and GenAI workloads. Drive adoption of AI Engineering, MLOps and LLMOps best practices across development, deployment, monitoring and governance. Champion security, resilience, privacy, Responsible AI and governance by design. Identify opportunities to improve efficiency … cases. Understanding of modern GenAI architecture patterns including vector databases, retrieval-augmented generation (RAG), embeddings, agentic workflows and LLM orchestration frameworks. Knowledge of MLOps, model lifecycle management, observability and AI governance practices. Experience with cloud platforms such as GCP, Azure or AWS and associated platform services. Strong understanding of containers ...

including machine learning models, data pipelines and application components that are secure, reliable and performant.Drive the operationalisation of AI solutions using modern engineering and MLOps practices, including CI/CD, model monitoring, testing and lifecycle management.Ensure solutions are developed in line with security, privacy, governance and responsible AI requirements, particularly … practical implementation of model development and deployment.Working knowledge of Generative AI, including large language models, prompt engineering, retrieval-augmented generation and evaluation approaches.Experience with MLOps and modern engineering practices, including CI/CD pipelines, model versioning, monitoring and automated testing.Experience deploying AI solutions on cloud platforms such as Azure ...

including machine learning models, data pipelines and application components that are secure, reliable and performant.Drive the operationalisation of AI solutions using modern engineering and MLOps practices, including CI/CD, model monitoring, testing and lifecycle management.Ensure solutions are developed in line with security, privacy, governance and responsible AI requirements, particularly … practical implementation of model development and deployment.Working knowledge of Generative AI, including large language models, prompt engineering, retrieval-augmented generation and evaluation approaches.Experience with MLOps and modern engineering practices, including CI/CD pipelines, model versioning, monitoring and automated testing.Experience deploying AI solutions on cloud platforms such as Azure ...

including machine learning models, data pipelines and application components that are secure, reliable and performant.Drive the operationalisation of AI solutions using modern engineering and MLOps practices, including CI/CD, model monitoring, testing and lifecycle management.Ensure solutions are developed in line with security, privacy, governance and responsible AI requirements, particularly … practical implementation of model development and deployment.Working knowledge of Generative AI, including large language models, prompt engineering, retrieval-augmented generation and evaluation approaches.Experience with MLOps and modern engineering practices, including CI/CD pipelines, model versioning, monitoring and automated testing.Experience deploying AI solutions on cloud platforms such as Azure ...

including machine learning models, data pipelines and application components that are secure, reliable and performant.Drive the operationalisation of AI solutions using modern engineering and MLOps practices, including CI/CD, model monitoring, testing and lifecycle management.Ensure solutions are developed in line with security, privacy, governance and responsible AI requirements, particularly … practical implementation of model development and deployment.Working knowledge of Generative AI, including large language models, prompt engineering, retrieval-augmented generation and evaluation approaches.Experience with MLOps and modern engineering practices, including CI/CD pipelines, model versioning, monitoring and automated testing.Experience deploying AI solutions on cloud platforms such as Azure ...

Senior MLOps EngineerSalary: 70,000 to 100,000, depending on experienceLocation: West LondonWorking arrangement: Predominantly office and customer-site based, with some remote working availableEmployment: Permanent, full-timeMFK Recruitment is recruiting a Senior MLOps Engineer for an innovative UK technology company developing advanced Artificial Intelligence and Machine Learning solutions … five years, and all four are still with the business. This speaks volumes about the company’s culture, technical challenges and long-term opportunities.Senior MLOps Engineer roleThe Senior MLOps Engineer will develop and improve the infrastructure that takes advanced AI and computer vision models from research through to reliable production ...

Head of Engineering and Technical Architect Cloud & Platform Integration: Partner closely with our GCP and Data Engineering teams to build seamless LLMOps/MLOps CI/CD pipelines, ensuring scalable and cost-effective model deployment via Vertex AI and containerized environments. Take ownership of building and maintaining robust LLMOps pipelines. … data warehouse architectures. Hands-on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps/LLMOps Pipelines: Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning, and containerized workflows using Docker and Kubernetes (GKE/ ...

Head of Engineering and Technical Architect Cloud & Platform Integration: Partner closely with our GCP and Data Engineering teams to build seamless LLMOps/MLOps CI/CD pipelines, ensuring scalable and cost-effective model deployment via Vertex AI and containerized environments. Take ownership of building and maintaining robust LLMOps pipelines. … data warehouse architectures. Hands-on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps/LLMOps Pipelines: Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning, and containerized workflows using Docker and Kubernetes (GKE/ ...

scale representation learning techniques. Experience working with distributed computing environments, large datasets, and scalable training or inference systems. Knowledge of cloud platforms and modern MLOps practices. Excellent communication skills with the ability to work effectively across technical and non-technical teams. Pragmatic approach to balancing engineering excellence with business outcomes. ...

outputs, assumptions and trade-offs. Good understanding of data engineering, data quality, privacy, ethics and responsible model use. Desirable skills and experience Experience with MLOps, cloud platforms, vector databases, NLP/LLMs or AI-assisted products. Experience mentoring data scientists or setting technical standards within a team. Experience working ...

that actually make it into production. We're supporting a major financial services organisation as they build a brand-new enterprise Data Platform and MLOps capability . This is a rare opportunity to join at an early stage and play a key role in shaping how Data Science is delivered ...

with practical, shippable outcomes. Creative, experimental, and excited to try new approaches. Nice to have Computer vision experience (in-store analytics, product imagery). MLOps tooling and cloud deployment. To apply Send your CV and anything that shows your work (portfolio, GitHub, projects) to hr@morgansholding.com. #J-18808-Ljbffr ...

large language models and AI-assisted engineering. Excellent communication, facilitation and stakeholder-management skills. Desirable Platform engineering, Kubernetes or internal developer platforms. AI platforms, MLOps, prompt engineering or agentic workflows. AI governance and responsible AI adoption. Public-sector digital delivery or technology modernisation experience. Please apply today to be considered ...

large language models and AI-assisted engineering. Excellent communication, facilitation and stakeholder-management skills. Desirable Platform engineering, Kubernetes or internal developer platforms. AI platforms, MLOps, prompt engineering or agentic workflows. AI governance and responsible AI adoption. Public-sector digital delivery or technology modernisation experience. Please apply today to be considered ...

large language models and AI-assisted engineering. Excellent communication, facilitation and stakeholder-management skills. Desirable Platform engineering, Kubernetes or internal developer platforms. AI platforms, MLOps, prompt engineering or agentic workflows. AI governance and responsible AI adoption. Public-sector digital delivery or technology modernisation experience. Please apply today to be considered ...

enterprise cloud migrations and multi-region deployments. Exposure to SRE concepts. Experience with GitHub Actions, Jenkins, GitLab CI/CD or Bamboo. Knowledge of MLOps, Databricks, Snowflake, Kafka/Event Streaming, Ansible or Chef. Knowledge of FinOps and Azure cost optimisation. Experience working within BFSI environments with security and compliance ...

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 Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary‐Exchange Pension Employee Assistance Programme ...