20 of 20 Remote MLOps Jobs in the South East

real-world tradeoffs. Fluency in Python and commonly used ML libraries (e.g. pandas, scikit-learn; experience with PyTorch or TensorFlow is a plus). Experience with model lifecycle management (MLOps), including monitoring, retraining, and model versioning. Ability to work across data infrastructure, from SQL to large-scale distributed data tools (Spark, etc.). Strong written and verbal communication skills, especially More ❯

the ability to balance research innovation and commercial value delivery. Comfortable operating across cloud environments (GCP, Azure, AWS) and deploying AI/ML systems at scale. Strong knowledge of MLOps practices and infrastructure including CI/CD, model versioning, orchestration, and monitoring. A collaborative and inspiring leader who brings out the best in technical teams and communicates complex concepts to More ❯

working in B2C, e-commerce, subscription, retail, or fintech industries is a strong advantage Nice to Have Experience with NLP for customer feedback or support ticket analysis Exposure to MLOps for model deployment and monitoring Familiarity with tools like Amplitude, Mixpanel, or Google Analytics Why Join Us? Shape data-driven strategy for how we understand and engage with our customers More ❯

project governance, lifecycle management, and ROI tracking. Vendor Management: Evaluate and manage relationships with external AI platform vendors and partners. Stay Ahead: Keep ClearCourse at the forefront of GenAI, MLOps, RPA, and regulatory trends. What You’ll Bring: Essential: Proven experience leading AI, ML, or automation initiatives in a digital or tech-driven organisation Strong knowledge of GenAI, NLP, LLMs More ❯

and ownership Nice to Have Experience with Data Mesh or Data Lake architectures Familiarity with Kubernetes , Docker, and real-time streaming (Kafka, Kinesis) Exposure to ML engineering pipelines or MLOps Interested? If you're ready to lead a team at the forefront of data innovation in a mission-driven scale-up, apply today or reach out for a confidential chat. More ❯

/sub patterns for asynchronous processing Integrate with third-party data sources like Snowflake and Databricks Create robust error handling, monitoring, and retry systems for high availability Collaborate with MLOps and DevOps teams to optimise architecture and deployment pipelines What You'll Bring 5+ years in backend or fullstack engineering roles Strong Python skills, ideally with FastAPI and the ASGI More ❯

environments Strong technical background in data engineering, analytics, or science Experience working with Finance and Risk teams Familiar with AWS and modern data/AI stacks (SQL, Python, MLflow, MLOps) Strategic mindset with ability to scale teams and influence at C-level More ❯

Experience:* Python, including APIs, data structures, and async processing* Databricks/Microsoft Fabric* Cloud, preferably Azure (Data Lake, Functions, App Services)* Containerisation with Docker and CI/CD pipelines* MLOps tooling (MLFlow, Git-based versioning, environment tracking)Desirable Skills & Interests* LangChain, Langflow, or similar frameworks for building AI agents* LLMs or intelligent automation workflows* High-availability, scalable systems (microservices, event More ❯

libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Solid understanding of machine learning fundamentals and performance evaluation techniques Experience working in cloud platforms (AWS, GCP, or Azure) with MLOps tools (e.g. MLflow, SageMaker, Vertex AI) Comfortable working independently and delivering high-quality work to tight timelines Experience working in fast-paced environments or scale-up settings Company Market leading More ❯

and AI-driven recommendations. Technical Leadership: Experience in AI product scalability, DevOps, and cloud architecture. Backend & Data Skills: Proficiency in Python, Node.js, PostgreSQL, MongoDB, API security. AI Model Deployment: MLOps, scaling, data engineering, and AI ethics awareness. Strategic Mindset: Ability to align technology with business objectives and cost efficiency. Security & Compliance Knowledge: GDPR, API authentication, and observability best practices. Big More ❯

testing, validation, deployment, to monitoring 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 excellence. This is a flexible … Synapse, and Data Factory) Fluency 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 Excellent problem-solving and analytic … services, Event Hubs, Synapse, and 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 Excellent problem-solving and analytic More ❯

Experience with ML toolkits, e.g. PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines and tools. Be able to design and implement MLOps solutions covering many different technologies. Desirable Skills Background in DevOps with exposure to CI systems, e.g. Jenkins Familiarity with infrastructure as code, e.g. Ansible Experience, aptitude, and a desire to More ❯

assess and onboard new AI systems. - Evaluate solutions for compliance with internal policies and external regulations. Security & DevSecOps Integration: - Integrate AI security controls into CI/CD pipelines and MLOps workflows. - Monitor AI systems using Azure Monitor and Application Insights. Policy Implementation & Regulatory Alignment: - Translate regulatory requirements into actionable engineering guidelines. - Ensure compliance with transparency, data minimization, and incident response More ❯

ML teams in high-velocity environments. Deep knowledge of modern ML (supervised, unsupervised, generative, self-supervised learning, etc.). Strong understanding of ML systems at scale: inference pipelines, observability, MLOps, data pipelines, etc. Background in building ML for real-world infra, distributed systems, or low-latency environments is a big plus. Confident working at both strategic and technical depth, exec More ❯

MLOps Engineer A high-performance company who develop software and hardware products for the entertainment, engineering and life science industries are looking for a MLOps Engineer to join the team in Oxford. The team are looking for an excellent ML Ops Engineer to join their research and development team in Oxford, England. This opportunity is to join the ML Operations … Exposure to cloud based systems e.g. AWS, Azure or GCP (they use AWS) Knowledge of Linux systems including scripting and system configuration. Understanding of how ML tools fit into MLOps pipeline Desirable: Programming experience – ideally C++ or Java Background in DevOps – CI systems, Infrastructure-as-code Location – Oxford (Hybrid working 2 days a week onsite) Salary – Up to More ❯

big data workflows Utilize Azure Cloud services (Data Lake, Functions, App Services) for development and deployment Implement and maintain containerized solutions using Docker and CI/CD pipelines Apply MLOps practices using tools like MLFlow , Git-based versioning, and environment tracking Build and integrate AI and intelligent automation frameworks Ensure applications meet performance, reliability, and scalability requirements Required Skills & Experience … Databricks or Microsoft Fabric Proficiency in Azure cloud services including Data Lake, Functions, and App Services Strong understanding of Docker , CI/CD workflows, and automation pipelines Familiarity with MLOps tooling such as MLFlow, Git version control, and environment management Desirable Skills & Interests: Experience with frameworks like LangChain , Langflow , or similar tools for building AI agents Understanding of Large Language More ❯

An incredibly exciting opportunity has arisen for a MLOps Enigneer to join a Global Market Leader based in Oxfordshire, spearheading technology for both marker & markerless motion capture technology. This Academy Award®-winning company, and the world’s largest supplier of precision motion capture and tracking systems and is at the forefront of innovation in the industry. Developing high performance software … crucial measurement tool for biomechanics, robotics, and cutting-edge science. Due to their continued success, they are looking to expand their engineering team and are looking for an excellent MLOps Engineer to join the research and development team in Oxford, England. Key Responsibilities This opportunity is to join the ML Operations teams which supports the ML Development team in building … Experience with ML toolkits, e.g. PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines and tools. Be able to design and implement MLOps solutions covering many different technologies. Desirable Skills Background in DevOps with exposure to CI systems, e.g. Jenkins Familiarity with infrastructure as code, e.g. Ansible Experience, aptitude, and a desire to More ❯

Role: Machine Learning Operations Engineer Location: Oxfordshire Salary: £65,000 - £75,000 This is an exciting opportunity to join a world leading company specialising in motion capture and tracking systems, with products used globally in the entertainment, engineering, and life More ❯

ML Ops Engineer - Motion Capture Technology | Hybrid (Oxford, UK) An exciting opportunity has arisen for an ML Ops Engineer to join a world-leading technology company specialising in high-performance motion capture solutions for the entertainment, engineering, and life sciences More ❯

ML Ops Engineer – Motion Capture Technology | Hybrid (Oxford, UK) An exciting opportunity has arisen for an ML Ops Engineer to join a world-leading technology company specialising in high-performance motion capture solutions for the entertainment, engineering, and life sciences More ❯