1 to 25 of 140 MLOps Jobs in the UK excluding London

generative AI Familiarity with modern AI/ML frameworks and tools (TensorFlow, PyTorch, scikit-learn, etc.) Understanding of cloud platforms (AWS, Azure, GCP) and MLOps practices Knowledge of data engineering, APIs, and software development lifecycle Strong business acumen with ability to quantify ROI and business impact of AI initiatives ...

cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration MLOps & cloud computing Its all real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning plan could include: Up to three ...

cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration MLOps & cloud computing Its all real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning plan could include: Up to three ...

cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration MLOps & cloud computing Its all real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning plan could include: Up to three ...

cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration MLOps & cloud computing Its all live lectures, tutor-led group work and real-world challenges from day one. Learn it. Apply it. Keep going Your personal ...

cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration MLOps & cloud computing Its all live lectures, tutor-led group work and real-world challenges from day one. Learn it. Apply it. Keep going Your personal ...

cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration MLOps & cloud computing Its all live lectures, tutor-led group work and real-world challenges from day one. Learn it. Apply it. Keep going Your personal ...

cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration MLOps & cloud computing Its all live lectures, tutor-led group work and real-world challenges from day one. Learn it. Apply it. Keep going Your personal ...

engineers and participate in structured onboarding and learning paths Career Growth : Clear progression toward mid-level engineering or specialist roles in ML, NLP, or MLOps Innovation Culture : Be part of a forward-thinking team that values creativity, experimentation, and collaboration Excellent Company Benefits 25+ Days Annual Leave + bank holidays ...

TensorFlow, PyTorch, Keras, or scikit-learn (commercial experience not essential). Excellent communication skills for both internal and client-facing interactions. Awareness of MLOps is a plus. UK citizenship required. What’s on Offer Opportunity to work on cutting-edge AI and ML projects. Collaborative, knowledge-driven culture. Competitive salary ...

TensorFlow, PyTorch, Keras, or scikit-learn (commercial experience not essential). Excellent communication skills for both internal and client-facing interactions. Awareness of MLOps is a plus. UK citizenship required. What’s on Offer Opportunity to work on cutting-edge AI and ML projects. Collaborative, knowledge-driven culture. Competitive salary ...

problems Proficiency in Python (production-level) and SQL ; experience with modern ML/AI libraries such as scikit-learn, TensorFlow or PyTorch Familiarity with MLOps , model deployment and cloud platforms such as Databricks, AWS or Azure It would be great if you had: Experience working with customer contact centres , operations ...

Advanced Materials - Oxford (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that's reinventing ...

that encourages innovation and professional development What you will be doing Designing, building, and deploying AI and data science solutions end-to-end Implementing MLOps foundations including CI/CD, automated testing, monitoring, drift detection and model versioning Building generative AI features such as RAG pipelines, embeddings, and AI agents ...

data engineering and contribute to architectural decisions Support senior team members in identifying and addressing data science opportunities. Required Skills & Experience Proven experience in MLOps or DevOps roles within machine learning environments Strong programming skills in Python, with hands-on experience in PySpark and SQL Deep understanding of ML lifecycle ...

models using Azure ML in Production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity with data visualization and reporting tools, ideally PowerBI. Good written and verbal communication and interpersonal skills. Ability to convey technical concepts ...

Azure), Infrastructure as Code (Terraform), Docker - containerisation. An understanding of kubernetes. Understanding of LLM architectures, inference serving optimization techniques (quantisation, caching), and MLOps tooling (e.g., MLFlow, Kubeflow). Proven experience designing, implementing, and optimising complex RAG pipelines using vector databases (e.g., Pinecone, PGVector). Practical experience with agentic frameworks (e.g. ...

essential: Proficiency in Arcade scripting across ESRI runtime environments. Familiarity with the Microsoft Azure cloud platform, including data and AI services, and MLOps Knowledge of geospatial data warehousing and analytics. Familiarity with leading AI/ML platforms and libraries Experience building and scheduling ETL workflows. Knowledge of spatial data management ...

essential: Proficiency in Arcade scripting across ESRI runtime environments. Familiarity with the Microsoft Azure cloud platform, including data and AI services, and MLOps Knowledge of geospatial data warehousing and analytics. Familiarity with leading AI/ML platforms and libraries Experience building and scheduling ETL workflows. Knowledge of spatial data management ...

services. Apply data modelling concepts (e.g., medallion architecture) and ensure data quality and governance. Collaborate with DevOps teams to automate CI/CD and MLOps processes using Azure DevOps, Kubernetes, and Terraform. Visualize and communicate insights using Power BI, Tableau, and PowerApps. Mentor junior engineers and contribute to internal knowledge ...

grounding in data modeling, governance, security, and responsible AI practices. Exceptional analytical, problem-solving, and communication abilities. Nice to Have: Generative AI, LLMs, AutoML, MLOps/CI-CD experience. Real-time or streaming data experience. Domain experience in e-commerce, travel, or related sectors. Experience mentoring or leading technical initiatives. ...

Excellent diagnostic and problem-solving skills, seeking innovative solutions to complex problems A computer science or studies related degree Having knowledge or experience with MLOps , Cloud based services such as AWS, Azure and GCP would be highly desirable but not essential. Working with the wider software team, you will also ...

stack selection and integration strategies for generative AI solutions. Technical Leadership: Provide guidance on data preparation, model fine-tuning, and deployment strategies. Advise on MLOps, cloud infrastructure, and scalability considerations. Mentor junior engineers and share best practices across teams. Governance & Compliance: Ensure adherence to ethical AI principles, data privacy regulations ...

stack selection and integration strategies for generative AI solutions. Technical Leadership: Provide guidance on data preparation, model fine-tuning, and deployment strategies. Advise on MLOps, cloud infrastructure, and scalability considerations. Mentor junior engineers and share best practices across teams. Governance & Compliance: Ensure adherence to ethical AI principles, data privacy regulations ...

stack selection and integration strategies for generative AI solutions. Technical Leadership: Provide guidance on data preparation, model fine-tuning, and deployment strategies. Advise on MLOps, cloud infrastructure, and scalability considerations. Mentor junior engineers and share best practices across teams. Governance & Compliance: Ensure adherence to ethical AI principles, data privacy regulations ...