301 to 325 of 463 MLOps Jobs in the UK

production deployment — while mentoring top engineers and collaborating closely with research and infrastructure leaders. You'll combine technical depth in deep learning and MLOps with leadership in execution and strategy, ensuring that Turing's AI initiatives deliver reliable, high-performance systems that translate research breakthroughs into measurable business impact. This … navigating the intersection of research, engineering, and product delivery. Roles & Responsibilities: Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals. Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment. Collaborate with Research, Product, and Infrastructure teams ...

production deployment — while mentoring top engineers and collaborating closely with research and infrastructure leaders. You'll combine technical depth in deep learning and MLOps with leadership in execution and strategy, ensuring that Turing's AI initiatives deliver reliable, high-performance systems that translate research breakthroughs into measurable business impact. This … navigating the intersection of research, engineering, and product delivery. Roles & Responsibilities: Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals. Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment. Collaborate with Research, Product, and Infrastructure teams ...

production deployment — while mentoring top engineers and collaborating closely with research and infrastructure leaders. You’ll combine technical depth in deep learning and MLOps with leadership in execution and strategy , ensuring that Turing’s AI initiatives deliver reliable, high-performance systems that translate research breakthroughs into measurable business impact. This … intersection of research, engineering, and product delivery . Roles & Responsibilities: Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals. Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment. Collaborate with Research, Product, and Infrastructure teams ...

production deployment — while mentoring top engineers and collaborating closely with research and infrastructure leaders. You'll combine technical depth in deep learning and MLOps with leadership in execution and strategy, ensuring that Turing's AI initiatives deliver reliable, high-performance systems that translate research breakthroughs into measurable business impact. This … navigating the intersection of research, engineering, and product delivery. Roles & Responsibilities: Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals. Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment. Collaborate with Research, Product, and Infrastructure teams ...

production deployment — while mentoring top engineers and collaborating closely with research and infrastructure leaders. You'll combine technical depth in deep learning and MLOps with leadership in execution and strategy, ensuring that Turing's AI initiatives deliver reliable, high-performance systems that translate research breakthroughs into measurable business impact. This … navigating the intersection of research, engineering, and product delivery. Roles & Responsibilities: Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals. Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment. Collaborate with Research, Product, and Infrastructure teams ...

production deployment — while mentoring top engineers and collaborating closely with research and infrastructure leaders. You'll combine technical depth in deep learning and MLOps with leadership in execution and strategy, ensuring that Turing's AI initiatives deliver reliable, high-performance systems that translate research breakthroughs into measurable business impact. This … navigating the intersection of research, engineering, and product delivery. Roles & Responsibilities: Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals. Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment. Collaborate with Research, Product, and Infrastructure teams ...

production deployment — while mentoring top engineers and collaborating closely with research and infrastructure leaders. You'll combine technical depth in deep learning and MLOps with leadership in execution and strategy, ensuring that Turing's AI initiatives deliver reliable, high-performance systems that translate research breakthroughs into measurable business impact. This … navigating the intersection of research, engineering, and product delivery. Roles & Responsibilities: Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals. Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment. Collaborate with Research, Product, and Infrastructure teams ...

production deployment — while mentoring top engineers and collaborating closely with research and infrastructure leaders. You'll combine technical depth in deep learning and MLOps with leadership in execution and strategy, ensuring that Turing's AI initiatives deliver reliable, high-performance systems that translate research breakthroughs into measurable business impact. This … navigating the intersection of research, engineering, and product delivery. Roles & Responsibilities: Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals. Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment. Collaborate with Research, Product, and Infrastructure teams ...

production deployment — while mentoring top engineers and collaborating closely with research and infrastructure leaders. You'll combine technical depth in deep learning and MLOps with leadership in execution and strategy, ensuring that Turing's AI initiatives deliver reliable, high-performance systems that translate research breakthroughs into measurable business impact. This … navigating the intersection of research, engineering, and product delivery. Roles & Responsibilities: Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals. Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment. Collaborate with Research, Product, and Infrastructure teams ...

experimental models into production-ready solutions, collaborating with engineers on deployment, monitoring, and optimisation. Build and maintain ML pipelines using AWS services and modern MLOps/LLMOps tooling. Implement robust versioning, experiment tracking, and reproducibility practices. Mentor junior engineers and contribute to team-wide AI knowledge sharing. Communicate complex technical … level). Hands-on experience with Python ML frameworks (scikit-learn, PyTorch, TensorFlow, XGBoost). Experience with AWS ML services (SageMaker, Lambda, S3) and MLOps/LLMOps tooling (MLflow, Weights & Biases, DVC). Proven track record transitioning models from experimentation to production with governance and quality controls. Experience developing ...

Senior ML Engineer will own the journey from experimentation and hypothesis testing through to secure, production-grade deployment, using a modern AWS-based MLOps and LLMOps platform. The Role The successful candidate will balance rapid experimentation with production readiness, prototyping and validating machine learning and generative AI approaches while ensuring …/B testing and statistical evaluation Proven experience moving models from experimentation into production with appropriate governance and quality controls Hands-on experience with MLOps tooling such as MLflow, Weights & Biases or Data Version Control Practical experience building LLM/GenAI applications, including prompt engineering and retrieval-augmented generation ...

want to work with the latest in LLMs, co-pilots, agentic workflows, RAGs, and more, while also applying real data science, ML, and MLOps skills in live enterprise environments. What You'll Do: Work directly with enterprise clients to design and deploy custom AI agents Tackle complex business problems with ...

want to work with the latest in LLMs, co-pilots, agentic workflows, RAGs , and more, while also applying real data science, ML, and MLOps skills in live enterprise environments. What You’ll Do: Work directly with enterprise clients to design and deploy custom AI agents Tackle complex business problems with ...

simulation + tele‐op logs, version them, apply weak‐supervision labelling, curate balanced datasets, and auto‐surface fresh failure cases into retraining. Work with MLOps & Data Platform teams to scale distributed training and optimize models for real‐time edge inference. We’re Looking For: 3+ years building deep‐learning systems ...

Details Role/Job Title: MLOps Engineer Work Location: London, UK Office Requirement (Hybrid): 2 days per week Key Responsibilities (High-Level) Design, implement, and maintain scalable ML model deployment pipelines (CI/CD for ML). Build infrastructure to monitor model performance, data drift, and other key metrics … production. Develop and maintain tools for model versioning, reproducibility, and experiment tracking. The Role As an MLOps Engineer , you will support these products from inception. This requires working across the full data ecosystem: developing application-specific data pipelines (features), building CICD pipelines that automate the training and deployment of machine ...

lifecycle, ensuring engineering solutions meet operational needs. Implementing and maintaining secure, scalable architectures in collaboration with cloud, platform, and security teams. Applying DevOps and MLOps practices to support reliable, auditable, and maintainable deployments. Contributing to technical design reviews, estimates, and solution documentation. Supporting proposals and technical inputs to bids where … production ML workflows. Exposure to Generative AI, LLMs, or agent-based systems, including orchestration and integration into wider platforms. Understanding of DevOps/MLOps practices, CI/CD, monitoring, and model governance. Defence & Secure Environment Experience Experience delivering technical solutions within MOD, Defence suppliers, Defence consultancies, or other secure public ...

lifecycle, ensuring engineering solutions meet operational needs. Implementing and maintaining secure, scalable architectures in collaboration with cloud, platform, and security teams. Applying DevOps and MLOps practices to support reliable, auditable, and maintainable deployments. Contributing to technical design reviews, estimates, and solution documentation. Supporting proposals and technical inputs to bids where … production ML workflows. Exposure to Generative AI, LLMs, or agent-based systems, including orchestration and integration into wider platforms. Understanding of DevOps/MLOps practices, CI/CD, monitoring, and model governance. Defence & Secure Environment Experience Experience delivering technical solutions within MOD, Defence suppliers, Defence consultancies, or other secure public ...

lifecycle, ensuring engineering solutions meet operational needs. Implementing and maintaining secure, scalable architectures in collaboration with cloud, platform, and security teams. Applying DevOps and MLOps practices to support reliable, auditable, and maintainable deployments. Contributing to technical design reviews, estimates, and solution documentation. Supporting proposals and technical inputs to bids where … production ML workflows. Exposure to Generative AI, LLMs, or agent-based systems, including orchestration and integration into wider platforms. Understanding of DevOps/MLOps practices, CI/CD, monitoring, and model governance. Defence & Secure Environment Experience Experience delivering technical solutions within MOD, Defence suppliers, Defence consultancies, or other secure public ...

lifecycle, ensuring engineering solutions meet operational needs. Implementing and maintaining secure, scalable architectures in collaboration with cloud, platform, and security teams. Applying DevOps and MLOps practices to support reliable, auditable, and maintainable deployments. Contributing to technical design reviews, estimates, and solution documentation. Supporting proposals and technical inputs to bids where … production ML workflows. Exposure to Generative AI, LLMs, or agent-based systems, including orchestration and integration into wider platforms. Understanding of DevOps/MLOps practices, CI/CD, monitoring, and model governance. Defence & Secure Environment Experience Experience delivering technical solutions within MOD, Defence suppliers, Defence consultancies, or other secure public ...

lifecycle, ensuring engineering solutions meet operational needs. Implementing and maintaining secure, scalable architectures in collaboration with cloud, platform, and security teams. Applying DevOps and MLOps practices to support reliable, auditable, and maintainable deployments. Contributing to technical design reviews, estimates, and solution documentation. Supporting proposals and technical inputs to bids where … production ML workflows. Exposure to Generative AI, LLMs, or agent-based systems, including orchestration and integration into wider platforms. Understanding of DevOps/MLOps practices, CI/CD, monitoring, and model governance. Defence & Secure Environment Experience Experience delivering technical solutions within MOD, Defence suppliers, Defence consultancies, or other secure public ...

lifecycle, ensuring engineering solutions meet operational needs. Implementing and maintaining secure, scalable architectures in collaboration with cloud, platform, and security teams. Applying DevOps and MLOps practices to support reliable, auditable, and maintainable deployments. Contributing to technical design reviews, estimates, and solution documentation. Supporting proposals and technical inputs to bids where … production ML workflows. Exposure to Generative AI, LLMs, or agent-based systems, including orchestration and integration into wider platforms. Understanding of DevOps/MLOps practices, CI/CD, monitoring, and model governance. Defence & Secure Environment Experience Experience delivering technical solutions within MOD, Defence suppliers, Defence consultancies, or other secure public ...

lifecycle, ensuring engineering solutions meet operational needs. Implementing and maintaining secure, scalable architectures in collaboration with cloud, platform, and security teams. Applying DevOps and MLOps practices to support reliable, auditable, and maintainable deployments. Contributing to technical design reviews, estimates, and solution documentation. Supporting proposals and technical inputs to bids where … production ML workflows. Exposure to Generative AI, LLMs, or agent-based systems, including orchestration and integration into wider platforms. Understanding of DevOps/MLOps practices, CI/CD, monitoring, and model governance. Defence & Secure Environment Experience Experience delivering technical solutions within MOD, Defence suppliers, Defence consultancies, or other secure public ...

lifecycle, ensuring engineering solutions meet operational needs. Implementing and maintaining secure, scalable architectures in collaboration with cloud, platform, and security teams. Applying DevOps and MLOps practices to support reliable, auditable, and maintainable deployments. Contributing to technical design reviews, estimates, and solution documentation. Supporting proposals and technical inputs to bids where … production ML workflows. Exposure to Generative AI, LLMs, or agent-based systems, including orchestration and integration into wider platforms. Understanding of DevOps/MLOps practices, CI/CD, monitoring, and model governance. Defence & Secure Environment Experience Experience delivering technical solutions within MOD, Defence suppliers, Defence consultancies, or other secure public ...

lifecycle, ensuring engineering solutions meet operational needs. Implementing and maintaining secure, scalable architectures in collaboration with cloud, platform, and security teams. Applying DevOps and MLOps practices to support reliable, auditable, and maintainable deployments. Contributing to technical design reviews, estimates, and solution documentation. Supporting proposals and technical inputs to bids where … production ML workflows. Exposure to Generative AI, LLMs, or agent-based systems, including orchestration and integration into wider platforms. Understanding of DevOps/MLOps practices, CI/CD, monitoring, and model governance. Defence & Secure Environment Experience Experience delivering technical solutions within MOD, Defence suppliers, Defence consultancies, or other secure public ...

lifecycle, ensuring engineering solutions meet operational needs. Implementing and maintaining secure, scalable architectures in collaboration with cloud, platform, and security teams. Applying DevOps and MLOps practices to support reliable, auditable, and maintainable deployments. Contributing to technical design reviews, estimates, and solution documentation. Supporting proposals and technical inputs to bids where … production ML workflows. Exposure to Generative AI, LLMs, or agent-based systems, including orchestration and integration into wider platforms. Understanding of DevOps/MLOps practices, CI/CD, monitoring, and model governance. Defence & Secure Environment Experience Experience delivering technical solutions within MOD, Defence suppliers, Defence consultancies, or other secure public ...