1 to 25 of 359 MLOps Jobs in the UK

advanced machine learning techniques, including graph-based processing, computer vision, natural language processing, and simulation modeling. Experience with generative AI and LLMs, such as LLamaIndex and LangChain Understanding of MLOps or LLMOps. Familiarity with Agile methodologies, preferably Scrum We are actively seeking candidates for full-time, remote work within the UK. More ❯

desirable. Proficiency in handling large datasets, experience with Azure Data Factory, Azure SQL Database, and Cosmos DB. Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure DevOps. Strong problem-solving abilities, with the capability to work on complex issues and drive innovative solutions. Deep understanding of Azure Cloud services relevant to AI, such More ❯

desirable. Proficiency in handling large datasets, experience with Azure Data Factory, Azure SQL Database, and Cosmos DB. Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure DevOps. Strong problem-solving abilities, with the capability to work on complex issues and drive innovative solutions. Deep understanding of Azure Cloud services relevant to AI, such More ❯

scaling tech company with clear progression opportunities. Collaborative culture: A dynamic team that values innovation, experimentation, and learning. Cutting-edge tools: Access to modern data platforms, cloud infrastructure, and MLOps frameworks. Competitive package: Salary, bonus, and flexible benefits. If you’re a driven Data Scientist ready to shape the future of technology and software innovation, we’d love to hear More ❯

scaling tech company with clear progression opportunities. Collaborative culture: A dynamic team that values innovation, experimentation, and learning. Cutting-edge tools: Access to modern data platforms, cloud infrastructure, and MLOps frameworks. Competitive package: Salary, bonus, and flexible benefits. If you’re a driven Data Scientist ready to shape the future of technology and software innovation, we’d love to hear More ❯

scaling tech company with clear progression opportunities. Collaborative culture: A dynamic team that values innovation, experimentation, and learning. Cutting-edge tools: Access to modern data platforms, cloud infrastructure, and MLOps frameworks. Competitive package: Salary, bonus, and flexible benefits. If you’re a driven Data Scientist ready to shape the future of technology and software innovation, we’d love to hear More ❯

Familiarity with deep learning frameworks (e.g. PyTorch, TensorFlow). Exposure to cloud platforms (AWS, GCP, or Azure). Experience with experimental design, research methods, or academic publishing. Understanding of MLOps, version control (Git), or containerisation (e.g. Docker). Benefits: 💰 Competitive Salary & Bonus: £35,000 – £45,000 plus bonus 🏢 Central London Office: Modern workspace in the heart of the city 🏡 Hybrid More ❯

Familiarity with deep learning frameworks (e.g. PyTorch, TensorFlow). Exposure to cloud platforms (AWS, GCP, or Azure). Experience with experimental design, research methods, or academic publishing. Understanding of MLOps, version control (Git), or containerisation (e.g. Docker). Benefits: 💰 Competitive Salary & Bonus: £35,000 – £45,000 plus bonus 🏢 Central London Office: Modern workspace in the heart of the city 🏡 Hybrid More ❯

Familiarity with deep learning frameworks (e.g. PyTorch, TensorFlow). Exposure to cloud platforms (AWS, GCP, or Azure). Experience with experimental design, research methods, or academic publishing. Understanding of MLOps, version control (Git), or containerisation (e.g. Docker). Benefits: 💰 Competitive Salary & Bonus: £35,000 – £45,000 plus bonus 🏢 Central London Office: Modern workspace in the heart of the city 🏡 Hybrid More ❯

Familiarity with deep learning frameworks (e.g. PyTorch, TensorFlow). Exposure to cloud platforms (AWS, GCP, or Azure). Experience with experimental design, research methods, or academic publishing. Understanding of MLOps, version control (Git), or containerisation (e.g. Docker). Benefits: 💰 Competitive Salary & Bonus: £35,000 – £45,000 plus bonus 🏢 Central London Office: Modern workspace in the heart of the city 🏡 Hybrid More ❯

Familiarity with deep learning frameworks (e.g. PyTorch, TensorFlow). Exposure to cloud platforms (AWS, GCP, or Azure). Experience with experimental design, research methods, or academic publishing. Understanding of MLOps, version control (Git), or containerisation (e.g. Docker). Benefits: 💰 Competitive Salary & Bonus: £35,000 – £45,000 plus bonus 🏢 Central London Office: Modern workspace in the heart of the city 🏡 Hybrid More ❯

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 ❯

platforms (e.g., B2B SaaS, marketplaces) Background in consulting, research labs, or tech companies with applied ML experience Familiarity with end-to-end ML lifecycle, including model monitoring, retraining, and MLOps best practices Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an More ❯

skills and ability to present complex ideas to non-technical stakeholders Experience with cloud platforms (AWS, GCP, Azure) and tools like Databricks, Snowflake, or BigQuery Desirable Skills Familiarity with MLOps, model monitoring, and production deployment Experience in a specific domain (e.g., marketing, operations, fraud, personalization, NLP) is a plus Hands-on experience with LLM stacks (e.g., Mistral, LangChain, Chroma, Hugging More ❯

algorithms Our technology stack Python and associated ML/DS libraries (Scikit-learn, Numpy, LightlGBM, Pandas, LangChain/LangGraph, TensorFlow, etc ) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc. MLOps: Terraform, Docker, Airflow, MLFlow More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to More ❯

problem Experience with experiment design and conducting A/B tests Proficiency in Python, with the ability to write production-grade code and a good understanding of data engineering & MLOps Solid understanding of machine learning concepts, familiarity working with common frameworks such as sci-kit-learn, TensorFlow, or PyTorch Collaborative and humble great teammate with an ability to work wimulti More ❯

problem Experience with experiment design and conducting A/B tests Proficiency in Python, with the ability to write production-grade code and a good understanding of data engineering & MLOps Solid understanding of machine learning concepts, familiarity working with common frameworks such as sci-kit-learn, TensorFlow, or PyTorch Collaborative and humble team player with an ability to work with More ❯

delivery , balancing innovation with maintainability, scalability, and performance. Develop and maintain reusable components , APIs, and services that enable rapid deployment of AI features across products. Champion best practices in MLOps and software engineering , including CI/CD, testing, observability, and versioning for AI systems. Mentor and guide junior engineers and cross-functional team members, fostering a culture of technical excellence More ❯

using frameworks such as Transformers, PyTorch, or TensorFlow Strong Python skills, with the ability to write clean, modular, production-grade code, and a solid understanding of data engineering and MLOps principles Ability to lead end-to-end ML projects, work independently in ambiguous problem spaces, and mentor junior team members Strong collaboration and communication skills, with experience aligning technical approaches More ❯

in data architecture, ETL/ELT pipelines, and distributed computing frameworks (e.g., Spark, Databricks). Excellent communication, stakeholder management, and team leadership skills. Nice to have (advantagous) Experience with MLOps, CI/CD for ML, and model governance. Exposure to multi-modal AI (text, image, audio). Sound like a great match? please apply with your CV asap to register More ❯

and Azure acceptable) Familiarity with Python ML packages such as PyTorch, TensorFlow, XGBoost, scikit-learn, SciPy, NumPy, pandas Strong SQL skills for data preparation and feature engineering Knowledge of MLOps principles, including automated retraining, monitoring, and deployment strategies Basic understanding of containerization and tools like Docker Nice-to-have skills: Experience with Google Cloud ML tools like Vertex AI Pipelines More ❯

60k per annum As a Machine Learning Engineer , you will be part of an MLOps team, working alongside data scientists, software engineers, and other stakeholders to bring machine learning models to life. You will be responsible for deploying, maintaining, and monitoring models in production, improving model performance, and refining the machine learning infrastructure to support business objectives. Your role will 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 ❯

examples include PyTorch, TensorFlow, XGBoost, scikit-learn, SciPy, NumPy, pandas, etc. * Strong knowledge of SQL and its use for data preparation & feature engineering * Understanding of & practical experience with implementing MLOps principals - including automated model retraining, monitoring & deployment strategies * Some knowledge of containerisation & use of tools like Docker & Docker Compose Nice-to-haves (Mix of the following but not all essential More ❯

Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £35,000 – £45,000 plus bonus 🏡 Hybrid Working : A flexible mix of office and remote work 📈 Career Growth : Structured More ❯