51 to 75 of 337 MLOps Jobs in the UK

respectful of all, reflects and represents the world in which we live, and fosters trust, collaboration and belonging. We are currently seeking a Senior MLOps Engineer with 5+ years of relevant experience to lead the design, deployment, and optimization of scalable machine learning pipelines, focusing on Generative AI and large … language models (LLMs). You will collaborate across teams to streamline workflows, ensure system reliability, and integrate the latest MLOps tools and practices. Why You'll Love Working with Us We are at an exciting point in our journey, leveraging Generative AI (GenAI) , Large Language Models (LLMs) , and advanced Retrieval … with cutting-edge AI frameworks, and solving complex challenges in a supportive, forward-thinking environment, you'll thrive here! Responsibilities: Develop and maintain scalable MLOps pipelines for GenAI applications. Deploy and optimize GenAI models, including large language models (LLMs) such as GPT and similar architectures, in production environments. Develop solutions More ❯

Qualifications: Strong experience in AI/ML development focusing on LLMs and biomedical NLP. Proficiency in deep learning frameworks (TensorFlow, PyTorch). Experience with MLOps tools and cloud environments (AWS, Azure, GCP). Expertise in model inference optimization techniques. Understanding of biomedical ontologies and healthcare data formats. Experience deploying AI More ❯

and deploying AI/ML solutions. Proficiency in Python and ML frameworks (TensorFlow, PyTorch). Strong understanding of LLMs, NLP, and machine learning algorithms. MLOps knowledge and experience with version control systems. Back-end engineering skills in Python or Node.js (willingness to upskill in Node.js/TypeScript). Ability to More ❯

Data Engineer Associate/Professional or Solutions Architect). Familiarity with MLflow, dbt, and BI tools such as Power BI or Tableau. Exposure to MLOps practices and deploying ML models within Databricks. Experience working within Agile and DevOps-driven delivery environments. More ❯

Strong proficiency in Python and SQL. Hands-on experience with Power BI or similar data visualisation tools. familiarity with version control (e.g., Git) and MLOps principles. Great communication skills both verbally and written. The role is offering a salary of up to £50,000 per annum and comes with a More ❯

environments using SageMaker or custom deployment frameworks Automate and optimize ETL/ELT processes for structured and unstructured data Integrate CI/CD and MLOps best practices for rapid model iteration and deployment Collaborate across teams to align ML engineering efforts with business needs ? What We're Looking For: 5+ More ❯

sensitive data (HIPAA/GDPR compliance awareness). Strong problem-solving skills and ability to move fast in a startup environment. Bonus: Experience with MLOps, Kubernetes, AWS/GCP, and deploying models in production. More ❯

sensitive data (HIPAA/GDPR compliance awareness). Strong problem-solving skills and ability to move fast in a startup environment. Bonus: Experience with MLOps, Kubernetes, AWS/GCP, and deploying models in production. Work Permit UK work permit required More ❯

in AI/ML model deployment processes and a strong understanding of the ML life cycle. Proven experience with CI/CD, DevOps, and MLOps, especially in supporting and improving production systems Strong familiarity with web server and API designs for ML model deployments. Experienced in Real time - Data Science More ❯

strong understanding of the ML life cycle. Experienced in Real time - Data Science Applications is essential Proven experience with CI/CD, DevOps, and MLOps, especially in supporting and improving production systems Strong familiarity with web server and API designs for ML model deployments. Proficient Python skills, including experience with More ❯

enterprise integration. Expertise in LLMs, NLP/NLU, Conversational/GenAI, AI Search, and Virtual Agents. Proficiency in programming & AI development (Python, OpenAI APIs, MLOps frameworks). Nice-to-Haves: Experience with multilingual AI models for global translation. AI certifications (e.g., Azure AI Engineer, Google ML Engineer, TOGAF). What More ❯

enterprise integration. Expertise in LLMs, NLP/NLU, Conversational/GenAI, AI Search, and Virtual Agents. Proficiency in programming & AI development (Python, OpenAI APIs, MLOps frameworks). Nice-to-Haves: Experience with multilingual AI models for global translation. AI certifications (e.g., Azure AI Engineer, Google ML Engineer, TOGAF). What More ❯

enterprise integration. Expertise in LLMs, NLP/NLU, Conversational/GenAI, AI Search, and Virtual Agents. Proficiency in programming & AI development (Python, OpenAI APIs, MLOps frameworks). Nice-to-Haves: Experience with multilingual AI models for global translation. AI certifications (e.g., Azure AI Engineer, Google ML Engineer, TOGAF). What More ❯

Agile software development experience. Preferred Qualifications Experience in Biomedical data or computational sciences. Experience in cloud platforms such as GCP or AWS. Experience with MLOps/LLMOps frameworks and best practices. Benefits Competitive compensation package. Private medical insurance. Life insurance (4 x salary). Personal development budget. Individual wellbeing budget. More ❯

developing and deploying machine learning models from prototype to large-scale production. LLM experience - optimising and serving LLMs for real-world applications Expertise with MLOps tools and practices (e.g., Docker, CI/CD pipelines, monitoring frameworks). Strong proficiency in Python and libraries like Pandas, NumPy, and scikit-learn, with More ❯

insights. Able to evaluate the models and experience of implementing them as stand-alone apps and as part of enterprise technology stacks. DataOps/MLOps experience would be valued. Strong Python programming for modelling and/or data analysis is essential, preferably with experience using the spaCy NLP framework and More ❯

researchers to implement novel data processing pipelines Develop an easy-to-use, secure, and robust developer experience for researchers and engineers Contribute to the MLOps best practices at Lila Sciences and write technical documentation for staff Qualifications: 3+ years of experience in software engineering, with a focus in data engineering More ❯

for AI model deployment. Data Visualisation: Ability to present insights effectively using tools like Matplotlib, Seaborn, Tableau, or Power BI. Model Deployment: Understanding of MLOps principles, APIs, and containerization (Docker, Kubernetes) for productionizing AI models. Business-Focused AI Application: Ability to translate AI solutions into measurable business impact. Why Wowcher More ❯

for AI model deployment. Data Visualisation: Ability to present insights effectively using tools like Matplotlib, Seaborn, Tableau, or Power BI. Model Deployment: Understanding of MLOps principles, APIs, and containerization (Docker, Kubernetes) for productionizing AI models. Business-Focused AI Application: Ability to translate AI solutions into measurable business impact. Why Wowcher More ❯

AWS Batch, Lambda, S3 Frontend: React, Next.js Key skills and experience: Experience using Python Experience with data modelling, and building data infrastructure Experienced in MLOps and building scalable data pipelines for ingestion and document processing Experience in at least one area of data science we work on: knowledge graphs, information More ❯

happen. Familiarity with ML experiment tracking and collaboration tools, such as Mlflow and Weights & Biases. A solid background in software engineering and DevOps practices, MLOps deployment, and infrastructure. A knack for generative AI frameworks and SDKs, like RAG, Langchain/LangGraph, Semantic Kernel, and tools such as MS tooling, Co More ❯

We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique perspective and experiences More ❯

We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique perspective and experiences More ❯

Description We are looking for highly skilled and experienced Senior MLOps Engineer to join our team. This role will be involved in designing, implementing, and maintaining robust and scalable machine learning pipelines. This person will possess a strong background in DevOps practices, machine learning principles, and cloud computing platforms. You … and accuracy. Understanding of statistical analysis and experimental design. Proficiency in data visualization and interpretation of ML results. Job responsibilities Proven experience as an MLOps Engineer or in a similar role, with an excellent understanding of AI/ML lifecycle management. Strong experience deploying and productionising ML models. Familiarity with … and big data technologies. Excellent problem-solving skills and the ability to troubleshoot complex issues in AI/ML systems. Technical Insight Skills with MLOps concepts and principles. Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization tools (e.g., Docker, Kubernetes). Proficiency in programming languages such as More ❯

We are looking for a highly skilled and experienced Senior MLOps Engineer to join our team. This role will be involved in designing, implementing, and maintaining robust and scalable machine learning pipelines. This person will possess a strong background in DevOps practices, machine learning principles, and cloud computing platforms. You … and accuracy. • Understanding of statistical analysis and experimental design. • Proficiency in data visualization and interpretation of ML results. Job Responsibilities • Proven experience as an MLOps Engineer or in a similar role, with an excellent understanding of AI/ML lifecycle management. • Strong experience deploying and productionizing ML models. • Familiarity with … and big data technologies. • Excellent problem-solving skills and the ability to troubleshoot complex issues in AI/ML systems. Technical Insight • Skills with MLOps concepts and principles. • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization tools (e.g., Docker, Kubernetes). • Proficiency in programming languages such as More ❯