76 to 100 of 376 MLOps Jobs in the UK excluding London

with the founding and AI leadership team and have real influence over architecture, tooling, and technical direction. What You'll Be Working On Production MLOps pipelines for training, evaluation, and deployment LLM-powered workflows for planning, site intelligence, and decision support Graph-based ML models linking spatial, regulatory, demographic ...

with the founding and AI leadership team and have real influence over architecture, tooling, and technical direction. What You'll Be Working On Production MLOps pipelines for training, evaluation, and deployment LLM-powered workflows for planning, site intelligence, and decision support Graph-based ML models linking spatial, regulatory, demographic ...

with the founding and AI leadership team and have real influence over architecture, tooling, and technical direction. What You'll Be Working On Production MLOps pipelines for training, evaluation, and deployment LLM-powered workflows for planning, site intelligence, and decision support Graph-based ML models linking spatial, regulatory, demographic ...

Collaborate with software engineers to integrate models into live applications Monitor, evaluate, and improve model performance over time Contribute to best practice around MLOps, automation, and model governance Document solutions clearly for both technical and non-technical stakeholders Essential Skills and Experience Commercial experience as a Machine Learning Engineer ...

production-ready systems. Academic Foundation Bachelors or Masters degree in Computer Science, Machine Learning, Engineering , or a closely related discipline. Bonus Points Experience with MLOps and model serving platforms such as BentoML, MLflow, or SageMaker . Hands-on work with streaming and batch data pipelines using tools like Spark, Airflow ...

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 ...

serving, versioning, and lifecycle management Lead documentation, knowledge transfer, and mentoring to upskill internal teams Technical requirements Strong Python and ML frameworks (PyTorch, TensorFlow) MLOps tooling (MLflow, Kubeflow or similar) Docker, Kubernetes, CI/CD pipelines Cloud platforms (AWS, Azure or GCP); Terraform experience preferred Financial services experience highly desirable ...

solutions using Python? Knowledge of frameworks such as PyTorch (preferred), TensorFlow, or Scikit-learn? Experience with NLP, deep learning, or computer vision? Familiarity with MLOps tools (Azure ML Pipelines, MLflow, Docker, Kubernetes)? Experience working with cloud platforms such as Azure, GCP, or AWS? The abbility to engage with technical ...

your skills in a fast-moving AI environment. Nice to Have (But Not Essential) Experience with vector databases , embeddings, or prompt optimisation. Exposure to MLOps , model deployment, or monitoring tools. Background in data engineering, front-end development, or UX-aware AI applications . Interest or experience in healthcare or regulated ...

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 ...

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. ...

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. ...

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 ...

Computer Science, Machine Learning, Computational Chemistry, or equivalent industry experience. Nice To Haves Prior experience in computational chemistry, bioinformatics, or cheminformatics. Experience with MLOps tools and practices for model serving and monitoring. Knowledge of tools like RDKit or other chemistry specific data toolkits. Familiarity with containerisation of services (Docker/ ...

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 ...

SLAs. Required Skills & Experience Python (pandas, NumPy, scikit-learn; PyTorch/TF a plus). Feature engineering, data quality validation, model training and optimisation. MLOps: experiment tracking (e.g., MLflow), model registry, CI/CD for ML. Serving and orchestration: AWS SageMaker, EKS, batch & real-time inference. Data pipelines: Spark/ ...

growth. Oversee the design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation. Collaborate with platform and MLOps teams to ensure robust, efficient, and scalable ML workflows (including CI/CD, feature management, and monitoring). Share insights and best practices across other ...

growth. Oversee the design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation. Collaborate with platform and MLOps teams to ensure robust, efficient, and scalable ML workflows (including CI/CD, feature management, and monitoring). Share insights and best practices across other ...

growth. Oversee the design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation. Collaborate with platform and MLOps teams to ensure robust, efficient, and scalable ML workflows (including CI/CD, feature management, and monitoring). Share insights and best practices across other ...

PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning are also beneficial. Experience configuring and maintaining cloud infrastructure including network infrastructure, compute, access control policies, load balancers, Public ...

skills and experience with ML frameworks (e.g. scikit-learn, TensorFlow, PyTorch). Experience with model deployment, monitoring and ML pipelines (e.g. CI/CD, MLOps concepts). A collaborative mindset with strong communication skills and experience working in cross-functional teams. If this role looks of interest, apply below. ...

transformer architectures and attention mechanisms. Experience deploying AI applications on cloud platforms (AWS, Azure, GCP) and containerisation tools (Docker, Kubernetes). Knowledge of MLOps, evaluation metrics for LLMs, and implementing responsible AI principles. Experience in Insurtech or Fintech domains. Desirable Familiarity with insurance workflows or policy administration systems. Immediate start ...

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 ...

influence stakeholders Clear, pragmatic communicator with a delivery-focused mindset Desirable (Not Essential) Experience with PyTorch, TensorFlow, or similar ML frameworks Exposure to MLOps, model monitoring, or AI performance optimisation Frontend collaboration experience (e.g. React-based systems) Cloud-native or containerised deployment experience Why work for us? Lead the development ...