16 of 16 Remote MLOps Jobs in Manchester

growth-focused role perfect for someone with a solid technical foundation and a hunger to dive deep into the evolving world of Generative AI, MLOps, and cloud infrastructure. We value in-person collaboration here at Matillion, therefore this role will follow our hybrid work structure where employees work 2 days More ❯

comprehensive model monitoring. Develop model training and evaluation pipelines to accelerate model development/deployment adhering to software development best practices (CI/CD & MLOps) Engage with Engineering teams to ensure we capture data points that are relevant and useful for insights and modelling. Requirements You have at least More ❯

and retraining of models within different environments. If you've a strong understanding of Microsoft Azure, fluency in data science coding, and expertise in MLOps frameworks, we want to hear from you. Bring your excellent communication, problem-solving, and organizational skills to our team and help us drive innovation and … in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc You'll be skilled in application of MLOps frameworks within a production environment Excellent communication skills, both verbal and written Strong time management and organisation skills Ability to diagnose and troubleshoot problems quickly … Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc. Skilled in application of MLOps frameworks within a production environment Excellent communication skills, both verbal and written Strong time management and organisation skills Ability to diagnose and troubleshoot problems quickly More ❯

and behavioural intelligence models. Lead the transition of prototypes into scalable, cloud-native production systems. Architect data pipelines and model-serving infrastructure (Docker, Kubernetes, MLOps). Work with large-scale time series and behavioural data from diverse sensors. Contribute to strategic technical decisions and mentor junior engineers. Collaborate cross-functionally … as Hugging Face, PyTorch, TensorFlow, and Scikit-learn. Experience deploying AI solutions into production environments using AWS/GCP/Azure. Hands-on with MLOps, CI/CD for ML, and model performance monitoring. A background in behavioural biometrics, human-computer interaction, or large-scale sensor/time-series data More ❯

and behavioural intelligence models. Lead the transition of prototypes into scalable, cloud-native production systems. Architect data pipelines and model-serving infrastructure (Docker, Kubernetes, MLOps). Work with large-scale time series and behavioural data from diverse sensors. Contribute to strategic technical decisions and mentor junior engineers. Collaborate cross-functionally … as Hugging Face, PyTorch, TensorFlow, and Scikit-learn. Experience deploying AI solutions into production environments using AWS/GCP/Azure. Hands-on with MLOps, CI/CD for ML, and model performance monitoring. A background in behavioural biometrics, human-computer interaction, or large-scale sensor/time-series data More ❯

and behavioural intelligence models. Lead the transition of prototypes into scalable, cloud-native production systems. Architect data pipelines and model-serving infrastructure (Docker, Kubernetes, MLOps). Work with large-scale time series and behavioural data from diverse sensors. Contribute to strategic technical decisions and mentor junior engineers. Collaborate cross-functionally … as Hugging Face, PyTorch, TensorFlow, and Scikit-learn. Experience deploying AI solutions into production environments using AWS/GCP/Azure. Hands-on with MLOps, CI/CD for ML, and model performance monitoring. A background in behavioural biometrics, human-computer interaction, or large-scale sensor/time-series data More ❯

and behavioural intelligence models. Lead the transition of prototypes into scalable, cloud-native production systems. Architect data pipelines and model-serving infrastructure (Docker, Kubernetes, MLOps). Work with large-scale time series and behavioural data from diverse sensors. Contribute to strategic technical decisions and mentor junior engineers. Collaborate cross-functionally … as Hugging Face, PyTorch, TensorFlow, and Scikit-learn. Experience deploying AI solutions into production environments using AWS/GCP/Azure. Hands-on with MLOps, CI/CD for ML, and model performance monitoring. A background in behavioural biometrics, human-computer interaction, or large-scale sensor/time-series data More ❯

customer groups based on behavioural data, and recommending products and/or content. Fine-tune Large Language Models to business-specific use cases. Deploy MLOps pipelines together with our ML engineers. Work closely with data engineers, fellow data scientists/AI engineers and consultants to ensure seamless integration and deployment … Direct availability to start working in the UK. Nice to have: Experience with natural language processing (NLP) or computer vision (CV). Knowledge of MLOps and model deployment pipelines. Familiarity with AI ethics and responsible AI principles. Experience working with large datasets and distributed computing. Contributions to open-source AI More ❯

through to deployment. Responsibilities: Develop and deploy scalable machine learning models into production environments Build and maintain robust ML pipelines using modern cloud and MLOps tooling Collaborate with data scientists, engineers, and stakeholders to deliver end-to-end solutions Implement testing, monitoring, and performance optimisation of ML systems Contribute to … learning models to production Strong programming skills in Python and familiarity with modern ML frameworks Experience working in cloud environments (preferably AWS) Understanding of MLOps practices and tooling Effective communication and ability to work independently in a remote team Desirable: Experience with LLMs or generative AI technologies Previous consultancy or More ❯

through to deployment. Responsibilities: Develop and deploy scalable machine learning models into production environments Build and maintain robust ML pipelines using modern cloud and MLOps tooling Collaborate with data scientists, engineers, and stakeholders to deliver end-to-end solutions Implement testing, monitoring, and performance optimisation of ML systems Contribute to … learning models to production Strong programming skills in Python and familiarity with modern ML frameworks Experience working in cloud environments (preferably AWS) Understanding of MLOps practices and tooling Effective communication and ability to work independently in a remote team Desirable: Experience with LLMs or generative AI technologies Previous consultancy or More ❯

mentoring data scientists in a commercial setting Currently working as a Data Science Manager, Lead Data Scientist or similar Experience working on GenAI/MLOps and similar projects Strong track record of delivering machine learning or AI projects end-to-end Hands-on skills in Python, with frameworks like Scikit … learn, TensorFlow, PyTorch, or PySpark Deep understanding of data science best practices, including MLOps Strong stakeholder communication skillsable to translate complex insights into business impact Experience working in cross-functional teams with engineering, architecture, and product Knowledge of the insurance or financial services industry would be a bonus Comfortable working More ❯

mentoring data scientists in a commercial setting Currently working as a Data Science Manager, Lead Data Scientist or similar Experience working on GenAI/MLOps and similar projects Strong track record of delivering machine learning or AI projects end-to-end Hands-on skills in Python, with frameworks like Scikit … learn, TensorFlow, PyTorch, or PySpark Deep understanding of data science best practices, including MLOps Strong stakeholder communication skillsable to translate complex insights into business impact Experience working in cross-functional teams with engineering, architecture, and product Knowledge of the insurance or financial services industry would be a bonus Comfortable working More ❯

mentoring data scientists in a commercial setting Currently working as a Data Science Manager, Lead Data Scientist or similar Experience working on GenAI/MLOps and similar projects Strong track record of delivering machine learning or AI projects end-to-end Hands-on skills in Python, with frameworks like Scikit … learn, TensorFlow, PyTorch, or PySpark Deep understanding of data science best practices, including MLOps Strong stakeholder communication skillsable to translate complex insights into business impact Experience working in cross-functional teams with engineering, architecture, and product Knowledge of the insurance or financial services industry would be a bonus Comfortable working More ❯

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges More ❯

and microservices to serve AI models at scale. Integrate behavioural intelligence models across cloud platforms (AWS, GCP, Azure). Set up end-to-end MLOps pipelines: monitoring, retraining, and automation. Collaborate with cross-functional teams to align tech with user-centric product design. What We’re Looking For: 2+ years … components. Proficiency in Python and frameworks like PyTorch/TensorFlow, Scikit-learn. Experience deploying models with Docker, Kubernetes, or serverless architectures. Solid grasp of MLOps workflows, versioning, and cloud automation. Strong foundations in algorithms, data structures, and system design. Bonus: Familiarity with behavioural biometrics, sensor-based or time series data More ❯

and microservices to serve AI models at scale. Integrate behavioural intelligence models across cloud platforms (AWS, GCP, Azure). Set up end-to-end MLOps pipelines: monitoring, retraining, and automation. Collaborate with cross-functional teams to align tech with user-centric product design. What We’re Looking For: 2+ years … components. Proficiency in Python and frameworks like PyTorch/TensorFlow, Scikit-learn. Experience deploying models with Docker, Kubernetes, or serverless architectures. Solid grasp of MLOps workflows, versioning, and cloud automation. Strong foundations in algorithms, data structures, and system design. Bonus: Familiarity with behavioural biometrics, sensor-based or time series data More ❯