13 of 13 MLOps Jobs in Manchester

. Skills we'd also like to hear about: Evidence of modelling experience applied to industry relevant use cases. Familiarity with working in an MLOps environment. Familiarity with simulation techniques. Familiarity with optimisation techniques. What you'll receive from us: No matter where you may be in your career or More ❯

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 ❯

Solid understanding of event-driven architecture Experience with CI/CD practices and tools Familiarity with microservices and modern cloud-based platforms Exposure to MLOps and Kubernetes is a big plus Computer Science degree or equivalent practical experience More ❯

MLOps Engineers (Mid, Senior & Lead level) – UKIC DV Cleared | AI/ML Start-up | Manchester | Hybrid Are you an MLOps Engineer with active UKIC DV clearance looking to make a real-world impact at the cutting edge of AI and machine learning? We’re hiring Mid, Senior, and Lead MLOps … play a key role in designing and deploying robust ML infrastructure, supporting both public and private sector clients. What You'll Do as an MLOps Engineer: Deploy and manage machine learning models in production environments Build and optimise scalable MLOps pipelines using modern tools and cloud platforms (AWS, Azure, GCP … world AI/ML projects that truly make a difference Contribute ideas in a relaxed, open, and innovation-driven culture Location & Flexibility for the MLOps Engineer: Hybrid role based in Manchester Strong work-life balance and a genuinely fun, inclusive environment Excellent career progression , bonus structure What We're Looking 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 ❯

in AI, Data Engineering, and Architecture. You will lead the development of scalable, AI-driven solutions, combining deep technical knowledge of AWS Cloud Services, MLOps, and core Data Science concepts with proven leadership and strong technical project management capabilities. You will act as both a technical and project leader, ensuring … Management and Architects. Oversee the end-to-end lifecycle of AI projects including data ingestion, ML model development, deployment, and monitoring. Implement and refine MLOps processes, ensuring robust and scalable delivery of models into production. Plan, initiate, manage, and monitor technical projects from end-to-end. Work with the Product … delivering B2B enterprise cloud applications hosted on AWS. Extensive experience of working with Agile processes, scrum practice and software engineering practices. Solid experience implementing MLOps processes, pipelines, and understanding key ML concepts. Experience building, scaling, and mentoring high-performance teams; adept at aligning teams towards strategic goals. Track record of 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 ❯

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 ❯

office) We're seeking a highly skilled Python Developer to join our Voice team in London, working on real-time communication, speech recognition, and MLOps infrastructure. This role offers a competitive salary of up to £105,000 per annum, along with stock options, reflecting the critical nature of AI-driven … Do : Develop and maintain backend systems for AI-driven voice assistants. Enhance real-time communication and speech recognition infrastructure. Contribute to the team's MLOps and platform stability. Ideal Candidates Will Have : Strong Python development experience with a focus on back-end systems. Experience in building scalable, high-performance applications. More ❯

office) We're seeking a highly skilled Python Developer to join our Voice team in London, working on real-time communication, speech recognition, and MLOps infrastructure. This role offers a competitive salary of up to £105,000 per annum, along with stock options, reflecting the critical nature of AI-driven … Do : Develop and maintain backend systems for AI-driven voice assistants. Enhance real-time communication and speech recognition infrastructure. Contribute to the team's MLOps and platform stability. Ideal Candidates Will Have : Strong Python development experience with a focus on back-end systems. Experience in building scalable, high-performance applications. More ❯

office) We're seeking a highly skilled Python Developer to join our Voice team in London, working on real-time communication, speech recognition, and MLOps infrastructure. This role offers a competitive salary of up to £105,000 per annum, along with stock options, reflecting the critical nature of AI-driven … Do : Develop and maintain backend systems for AI-driven voice assistants. Enhance real-time communication and speech recognition infrastructure. Contribute to the team's MLOps and platform stability. Ideal Candidates Will Have : Strong Python development experience with a focus on back-end systems. Experience in building scalable, high-performance applications. More ❯