1 to 25 of 28 Permanent MLOps Jobs in the South East

cloud-native AI systems in production. Generative AI skills - experience with large language models (LLMs) such as GPT-4/5, fine-tuning, RAG pipelines, or AI-powered chatbots. MLOps and integration - experience with frameworks like Kubeflow, MLflow, or Vertex AI, and deploying models behind APIs with monitoring and feedback loops. AI guardrails & quality - designing safeguards, judge models, automated evaluation 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 ❯

with distributed systems (Spark, Databricks, etc.). Familiarity with semi-structured and unstructured data formats. Knowledge of machine learning frameworks and how to operationalise models in production. Understanding of MLOps and AI model lifecycle management is a plus. Benefits: 25 Days holiday (excluding bank holidays) – increasing by a day every 2 years. Flexible working options – hybrid. Mental health and wellbeing 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 ❯

CI/CD pipelines. Experience writing clean, efficient, and modular code suitable for production environments. Desirable Skills or Knowledge Familiarity with AMO physics or quantum machine learning. Experience with MLOps best practices. Knowledge of systems like Apache Kafka, MQTT or real-time data pipelines. Experience with cloud platforms (AWS, Azure, GCP). Deep expertise in time series modelling techniques (e.g. 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 ❯

in data engineering, analytics, or data science. Experience with modern data stacks (e.g., SQL, dbt, Airflow, Snowflake, Looker/Power BI) and AI/ML tooling (e.g., Python, MLflow, MLOps). A track record of building and managing high-performing data teams. Strategic thinking and ability to influence senior stakeholders, comfortable in dual-regulated environments. HOW TO APPLY: Please send More ❯

reviews, observability and performance profiling. - ️ Experience using multi modal AI (document layout, vision language models, building agents). - Experience building quick prototypes (e.g. Streamlit, Dash) to validate ideas rapidly. - MLOps tooling (e.g. MLflow) and model monitoring experience. - Strong communication skills and action oriented. Nice to Have - ️ Hands on with Azure services (Storage, Container Registry, OpenAI Services). - Demonstrated experience building More ❯

you will design and develop scalable, cloud-based backend systems using multiple programming languages. You'll contribute to QA, automation, and infrastructure management while supporting DevOps and AI/MLOps practices. Collaboration on architecture, environment lifecycle, and regulatory compliance is key. As Full Stack Software Engineer, you will have to : Develop scalable software systems for back-end that will be 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 ❯

Proven ability to design and deploy full-stack AI pipelines in production Strong experience in backend engineering , ideally with Go and ML frameworks like PyTorch or TensorFlow Familiarity with MLOps , cloud infrastructure (AWS) , Kubernetes , and Terraform Experience evaluating and deploying models (including anomaly detection, RAG, and clustering) in noisy, evolving data environments Nice to Have: Experience with Perl Knowledge of 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 ❯

Learning (Azure ML), covering training, testing, and deployment to production.* Select appropriate ML techniques (e.g., classification, regression, ensemble methods, survival models) to improve predictions and automate core processes. 2. MLOps & Model Lifecycle Management * Own the end-to-end ML lifecycle using Azure ML pipelines, Data Factory (ADF), and ML tracking tools.* Implement CI/CD pipelines with Azure DevOps, ensuring … Training & Innovation * Clearly communicate ML model behaviour, performance, and limitations to both technical and non-technical stakeholders.* Support and upskill colleagues in the use of Azure ML tools and MLOps practices.* Explore and propose innovations based on emerging trends in Azure AI/ML and financial analytics. Essential Criteria * Demonstrated experience deploying and managing production machine learning models using Azure … Machine Learning.* Strong grasp of MLOps principles, including CI/CD, model monitoring, and retraining pipelines.* Experience with Python, SQL, and Azure data services such as Data Factory, Blob Storage, or Data Lake.* Proficiency with DevOps tools (e.g., Git, Azure DevOps) and version control workflows.* Familiarity with reporting and visualisation tools (e.g., Power BI).* Strong communication skills, with the 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 ❯

Solutions Architect - DevOps/DevSecOps/MLOps Solutions Architect UNITED KINGDOM Solutions Architect - DevOps/DevSecOps/MLOps - LONDON - UNITED KINGDOM Salary: £ 160,000 (80/20 split) Remote Status: Hybrid - 3 days/week Job Description: Looking for a new pure-play Pre-Sales/Sales Engineer role at a market leader in DevOps, DevSecOps, and MLOps Well, this … Represent the company at industry events and conferences Train customers and community members on product capabilities Feed back frontline insights to shape the product roadmap Stay ahead of DevOps & MLOps trends and bring that expertise to every customer conversation This is not a back-office architect role. You'll be front and centre in the sales process - a trusted technical 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 ❯

Job description At Permutable AI, were building intelligent systems to automate market analysis using advanced NLP and multi-LLM frameworks. Our goal is to dramatically accelerate how financial information is processed, understood, and acted on, enabling faster, smarter decisions for More ❯

Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 300,000+ travel experiences to explore-everything from simple tours to extreme adventures (and all the 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 ❯

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 ❯