201 to 225 of 698 MLOps Jobs in the UK

level AI capability inside a large-scale AI adoption programme for a central government department. Where the Machine Learning Engineer trains models and the MLOps Engineer runs the platform, you sit closest to the end product: turning LLMs, retrieval systems, and agentic workflows into working, usable features that integrate with ...

maintaining machine learning models in production environments Proficiency in Python and relevant AI/ML libraries (such as scikit‐learn, TensorFlow, PyTorch) Experience with MLOps practices and tools for managing the machine learning lifecycle Experience building and deploying Generative AI applications, including familiarity with LLMOps Exposure to cloud platforms (such ...

strong written and verbal communication skills. Experience in motorsport, high-performance engineering, automotive, manufacturing or other fast-paced technical environments. Knowledge of AI platforms, MLOps concepts, Microsoft Copilot, generative AI services, data platforms or enterprise AI governance processes. Experience in cloud managed endpoint management. We are an equal opportunities employer. ...

systems Strong Python skills and experience with tools such as: scikit‐learn, PyTorch, TensorFlow Pandas, NumPy Hugging Face/generative AI tooling Understanding of MLOps, cloud platforms (AWS, Azure, GCP), and SQL A passion for coaching, mentoring, and developing others Why Join Corndel? Remote, flexible, and supportive working environment Opportunity ...

production, including monitoring and troubleshooting Strong Python software engineering skills, including modular code, testing, debugging, and performance awareness Working knowledge of ML engineering/MLOps concepts, including training vs. serving, batch vs. real-time, orchestration, scalable data processing, and familiarity with model/prompt versioning and governance Ability to align ...

Scalable Pipelines:** Partner with data engineers and global IT teams to ensure AI solutions are scalable, secure, and integrated with CI/CD and MLOps standards.* **Bridge Tech and Strategy:** Translate complex algorithmic outputs and statistical concepts into clear, high-impact business strategies for senior stakeholders.* **Advance Technical Excellence:** Stay ...

model development and deployment of AI/ML applications in a production environment, with expertise in deploying models on AWS platforms. Deep familiarity with MLOps practices, covering the full cycle from design, experimentation, deployment, to monitoring and maintenance of machine learning models. Expertise in machine learning frameworks such as TensorFlow ...

object localisation or multi-modal perception systems. GPU optimisation, CUDA, inference acceleration or edge AI. Real-time computer vision systems. Docker, Kubernetes, Kubeflow or MLOps pipelines. Aerial, satellite or ISR imagery. Synthetic data generation, Unreal Engine or NVIDIA Omniverse. Distributed training and large-scale model optimisation. Defence, government or national ...

including serving, monitoring, and retraining Experience leading or mentoring engineering squads Hands‐on experience building and training deep learning models in PyTorch Familiarity with MLOps tooling such as MLflow and CI/CD workflows Experience with AWS, Azure, or GCP Experience with sequence models (e.g. transformers, RNNs) or generative models ...

including serving, monitoring, and retraining Experience leading or mentoring engineering squads Hands‐on experience building and training deep learning models in PyTorch Familiarity with MLOps tooling such as MLflow and CI/CD workflows Experience with AWS, Azure, or GCP Experience with sequence models (e.g. transformers, RNNs) or generative models ...

related technical discipline. Minimum 2 years of experience in Generative AI, Large Language Models (LLMs), machine learning, AI platforms, cloud computing, software engineering, MLOps, solution architecture, or customer‐facing technical consulting. Hands‐on experience with modern AI technologies including LLMs, Prompt Engineering, RAG, AI Agents, MCP, model fine‐tuning, inference ...

/MATLAB, with proficiency in ML libraries Strong knowledge of Machine Learning and AI techniques Experience with deploying operational signal processing systems Familiarity with MLOps and cloud computing platforms; Azure preferred Excellent communication and teaching skills, able to explain complex technical concepts to diverse audiences Passion for continuous learning ...

Snowpark, AWS Bedrock, SageMaker, vector search and semantic search architectures Experience delivering Business Intelligence platforms, self-service analytics solutions and working knowledge of DataOps, MLOps and LLMOps practices Demonstrable experience working in telecommunications and using industry best practice frameworks such as TM Forum, TOGAF, ITIL, BPMN and UML Life ...

complex professional environments. Strong consulting, stakeholder engagement, problem‐solving, and technical leadership capabilities. Desirable AWS Tools & Technologies experience: Amazon SageMaker - ML development, training, deployment & MLOps Amazon S3 - Scalable data storage & data lakes AWS Glue - Data integration, ETL & preparation Amazon Redshift & Athena - Data warehousing & serverless analytics Amazon EMR - Big data processing ...

related technical discipline. Minimum 2 years of experience in Generative AI, Large Language Models (LLMs), machine learning, AI platforms, cloud computing, software engineering, MLOps, solution architecture, or customer-facing technical consulting. Hands-on experience with modern AI technologies including LLMs, Prompt Engineering, RAG, AI Agents, MCP, model fine-tuning, inference ...

including vector embeddings, rerankers, and data indexing in databases like MongoDB. Practical knowledge of LLM fine‐tuning, prompt engineering, and performance optimization. Familiarity with MLOps principles and tools, including CI/CD with GitHub Actions. A strong interest in computer vision and an understanding of object detection models like Ultralytics ...

ability to help refine problem statements and figure out how to solve them Some extra skills that are great (but not essential): Experience with MLOps tools: Airflow, MLflow, AWS SageMaker, AWS S3, AWS EMR, CI/CD Prior experience in the fraud domain and a strong understanding of fraud detection ...

senior stakeholders Excellent Python skills using Scikit-learn and PyTorch, experience working in VS Code with AI-assisted coding tools, and knowledge of MLOps for production deployment Familiarity with generative AI, AI agents and agentic workflows, and an interest in applying them to real business problems Benefits and perks There ...

Scalable Pipelines: Partner with data engineers and global IT teams to ensure AI solutions are scalable, secure, and integrated with CI/CD and MLOps standards. Bridge Tech and Strategy: Translate complex algorithmic outputs and statistical concepts into clear, high-impact business strategies for senior stakeholders. Advance Technical Excellence: Stay ...

several days per week. Preferred/Nice to Have Background in high‐availability, low‐latency, or highly regulated environments (e.g. fintech, trading, healthcare). MLOps experience — deploying, monitoring, and scaling machine learning workflows in production. Experience with ClickHouse, Amazon Redshift, or other data warehousing/analytics platforms. Strong identity ...

event-driven architectures.* Experience with Infrastructure as Code (e.g. CloudFormation, CDK, Terraform).* Any experience with MCP (Model Context Protocol) and/or MLOps (e.g. model deployment pipelines, monitoring and lifecycle management) is highly desirable.* Understanding of compliance requirement around SDLC, ITGC, ITAC.* Experience with Flyway or similar database migration ...

frameworks) Hands‐on experience deploying AWS infrastructure as code (IaC) Degree‐level qualification in computer science or a related field Experience with DevOps and MLOps Solid grasp of software design patterns, SOLID and DRY principles, and architectural patterns Confidence with Git/GitHub, Docker and containerisation, Linux, bash ...

practices — explainability, bias review, model auditability Experience with insurance platforms (Duck Creek, Guidewire, Acturis) Experience with pricing or actuarial model deployment Familiarity with MLOps concepts (CI/CD pipelines, model registries, automated testing) — awareness required, not hands‐on ownership Experience with ML lifecycle tooling — MLflow, Azure ML, or equivalent Python ...

PyTorch) Understanding of core ML concepts — model training, evaluation, and production trade-offs — enough to design robust interfaces around them Experience with DevOps and MLOps Degree-level qualification in computer science or related field Deep understanding of Python Familiarity with Linux, bash, and the command line Ability to write logical ...

experimentation, deployment, monitoring, drift, and iteration Experience partnering with engineering and data science on technical architecture, APIs, data pipelines, workflow orchestration, scalable data products, MLOps, observability, and reliability Experience defining evaluation and validation frameworks for AI or ML products, including offline metrics, online experimentation, human evaluation, quality thresholds, error analysis ...