25 of 25 Remote/Hybrid MLOps Jobs in the East of England

learn Desirable (Nice to Have) Experience with deep learning, NLP, or computer vision Familiarity with cloud platforms (AWS, GCP, or Azure) Exposure to MLOps tools, CI/CD, or model deployment pipelines Experience working with large datasets or databases (SQL/NoSQL) Internship or project experience applying AI in real ...

Lambda or similar services) Expert SQL skills and experience working with large, complex datasets Solid data engineering fundamentals, including pipelines and APIs Comfortable with MLOps practices such as CI/CD, containerisation and monitoring Clear, pragmatic communicator who works well across teams Nice to have Experience with agentic ...

Lambda or similar services) Expert SQL skills and experience working with large, complex datasets Solid data engineering fundamentals, including pipelines and APIs Comfortable with MLOps practices such as CI/CD, containerisation and monitoring Clear, pragmatic communicator who works well across teams Nice to have Experience with agentic ...

Lambda or similar services) Expert SQL skills and experience working with large, complex datasets Solid data engineering fundamentals, including pipelines and APIs Comfortable with MLOps practices such as CI/CD, containerisation and monitoring Clear, pragmatic communicator who works well across teams Nice to have Experience with agentic ...

Lambda or similar services) Expert SQL skills and experience working with large, complex datasets Solid data engineering fundamentals, including pipelines and APIs Comfortable with MLOps practices such as CI/CD, containerisation and monitoring Clear, pragmatic communicator who works well across teams Nice to have Experience with agentic ...

Lambda or similar services) Expert SQL skills and experience working with large, complex datasets Solid data engineering fundamentals, including pipelines and APIs Comfortable with MLOps practices such as CI/CD, containerisation and monitoring Clear, pragmatic communicator who works well across teams Nice to have Experience with agentic ...

Lambda or similar services) Expert SQL skills and experience working with large, complex datasets Solid data engineering fundamentals, including pipelines and APIs Comfortable with MLOps practices such as CI/CD, containerisation and monitoring Clear, pragmatic communicator who works well across teams Nice to have Experience with agentic ...

unblock compute and data challenges What We're Looking For Strong experience in one or more of: Platform/infrastructure engineering ML infrastructure or MLOps HPC or GPU compute Data engineering at scale Solid experience with Linux and cloud environments Hands-on work with Kubernetes or distributed systems Experience with ...

unblock compute and data challenges What We're Looking For Strong experience in one or more of: Platform/infrastructure engineering ML infrastructure or MLOps HPC or GPU compute Data engineering at scale Solid experience with Linux and cloud environments Hands-on work with Kubernetes or distributed systems Experience with ...

unblock compute and data challenges What We're Looking For Strong experience in one or more of: Platform/infrastructure engineering ML infrastructure or MLOps HPC or GPU compute Data engineering at scale Solid experience with Linux and cloud environments Hands-on work with Kubernetes or distributed systems Experience with ...

unblock compute and data challenges What We're Looking For Strong experience in one or more of: Platform/infrastructure engineering ML infrastructure or MLOps HPC or GPU compute Data engineering at scale Solid experience with Linux and cloud environments Hands-on work with Kubernetes or distributed systems Experience with ...

unblock compute and data challenges What We're Looking For Strong experience in one or more of: Platform/infrastructure engineering ML infrastructure or MLOps HPC or GPU compute Data engineering at scale Solid experience with Linux and cloud environments Hands-on work with Kubernetes or distributed systems Experience with ...

unblock compute and data challenges What We're Looking For Strong experience in one or more of: Platform/infrastructure engineering ML infrastructure or MLOps HPC or GPU compute Data engineering at scale Solid experience with Linux and cloud environments Hands-on work with Kubernetes or distributed systems Experience with ...

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 ...

doing Designing and building production ML systems and pipelines in Python Architecting scalable inference infrastructure and model serving systems Building robust MLOps tooling for training, evaluation, and deployment Owning AI system reliability, performance optimization, and monitoring at scale Acting as a technical leader within the AI engineering team, with … Python skills with deep ML frameworks experience (PyTorch, TensorFlow, or similar) Proven experience running production ML systems at scale Strong background in model deployment, MLOps, and ML system architecture Experience with LLMs, transformers, or modern AI architectures Comfortable making long-term technical decisions around ML infrastructure Experience in regulated ...

doing Designing and building production ML systems and pipelines in Python Architecting scalable inference infrastructure and model serving systems Building robust MLOps tooling for training, evaluation, and deployment Owning AI system reliability, performance optimization, and monitoring at scale Acting as a technical leader within the AI engineering team, with … Python skills with deep ML frameworks experience (PyTorch, TensorFlow, or similar) Proven experience running production ML systems at scale Strong background in model deployment, MLOps, and ML system architecture Experience with LLMs, transformers, or modern AI architectures Comfortable making long-term technical decisions around ML infrastructure Experience in regulated ...

doing Designing and building production ML systems and pipelines in Python Architecting scalable inference infrastructure and model serving systems Building robust MLOps tooling for training, evaluation, and deployment Owning AI system reliability, performance optimization, and monitoring at scale Acting as a technical leader within the AI engineering team, with … Python skills with deep ML frameworks experience (PyTorch, TensorFlow, or similar) Proven experience running production ML systems at scale Strong background in model deployment, MLOps, and ML system architecture Experience with LLMs, transformers, or modern AI architectures Comfortable making long-term technical decisions around ML infrastructure Experience in regulated ...

doing Designing and building production ML systems and pipelines in Python Architecting scalable inference infrastructure and model serving systems Building robust MLOps tooling for training, evaluation, and deployment Owning AI system reliability, performance optimization, and monitoring at scale Acting as a technical leader within the AI engineering team, with … Python skills with deep ML frameworks experience (PyTorch, TensorFlow, or similar) Proven experience running production ML systems at scale Strong background in model deployment, MLOps, and ML system architecture Experience with LLMs, transformers, or modern AI architectures Comfortable making long-term technical decisions around ML infrastructure Experience in regulated ...

doing Designing and building production ML systems and pipelines in Python Architecting scalable inference infrastructure and model serving systems Building robust MLOps tooling for training, evaluation, and deployment Owning AI system reliability, performance optimization, and monitoring at scale Acting as a technical leader within the AI engineering team, with … Python skills with deep ML frameworks experience (PyTorch, TensorFlow, or similar) Proven experience running production ML systems at scale Strong background in model deployment, MLOps, and ML system architecture Experience with LLMs, transformers, or modern AI architectures Comfortable making long-term technical decisions around ML infrastructure Experience in regulated ...

doing Designing and building production ML systems and pipelines in Python Architecting scalable inference infrastructure and model serving systems Building robust MLOps tooling for training, evaluation, and deployment Owning AI system reliability, performance optimization, and monitoring at scale Acting as a technical leader within the AI engineering team, with … Python skills with deep ML frameworks experience (PyTorch, TensorFlow, or similar) Proven experience running production ML systems at scale Strong background in model deployment, MLOps, and ML system architecture Experience with LLMs, transformers, or modern AI architectures Comfortable making long-term technical decisions around ML infrastructure Experience in regulated ...