26 to 50 of 215 MLOps Jobs in the UK

call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (e.g. BroadWorks, Webex Calling). Knowledge of data governance, model ethics, and MLOps practices. Exposure to data visualization and predictive analytics for customer-experience metrics. Advanced degree in AI, ML, Data Science, or related discipline. Why Akixi ...

call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (e.g. BroadWorks, Webex Calling). Knowledge of data governance, model ethics, and MLOps practices. Exposure to data visualization and predictive analytics for customer-experience metrics. Advanced degree in AI, ML, Data Science, or related discipline. Why Akixi ...

solutions based on real user feedback and real-world constraints. Learn modern tooling and practices Gain hands-on experience with ML frameworks, cloud infrastructure, MLOps tools, and best practices for building scalable AI systems. Communicate clearly Translate technical findings into clear, structured insights for collaborators across technical and business teams. ...

solutions based on real user feedback and real-world constraints. Learn modern tooling and practices Gain hands-on experience with ML frameworks, cloud infrastructure, MLOps tools, and best practices for building scalable AI systems. Communicate clearly Translate technical findings into clear, structured insights for collaborators across technical and business teams. ...

technical challenges Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related technical discipline Bonus Skills/Experience Understanding of MLOps, model serving, scaling and monitoring workflows (e.g., BentoML, MLflow, Vertex AI, AWS Sagemaker) Experience building streaming + batch data ingestion and transformation pipelines (Spark/ ...

preferred. 3-5+ years' professional experience in data science with a proven track record of delivering impactful solutions. Strong understanding of CRISP-DM, MLOps, Agile delivery and ITIL or similar frameworks. Expert-level proficiency in Python and SQL, with sound software engineering practices (modular design, testing, CI/ ...

integrations that embed AI into customer journeys, internal tools, and digital platforms* Own model lifecycle processes including deployment, monitoring, evaluation, and retraining* Implement robust MLOps practices to ensure reliability, performance, and scalability* Mentor engineers and contribute to shared tooling, reusable patterns, and engineering standards Required Experience* Strong software engineering background ...

tuning, and evaluation. Hands-on experience with core GenAI frameworks (e.g., LangChain, LlamaIndex) and Agentic AI frameworks (e.g., AutoGen, CrewAI, LangGraph). Proficiency in MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes). Strong working knowledge and practical deployment experience on major cloud platforms (AWS, Azure, GCP), including their ...

TensorFlow, PyTorch, or Scikit-learn • Experience working with SQL and large datasets • Familiarity with data pipelines, feature engineering, and model optimisation • Understanding of MLOps practices, model deployment, and monitoring • Experience working with cloud platforms such as AWS, GCP, or Azure • Strong analytical thinking and problem-solving skills Experience Required ...

Take validated prototypes from our Data Science team and re-engineer them into high-performance, maintainable codebases that integrate seamlessly with client ecosystems. Infrastructure & MLOps: Build and maintain CI/CD pipelines specifically for machine learning, ensuring that deployments are predictable, reproducible, and secure. Performance Optimization: Profile and optimize model ...

programming skills Hands-on experience with PyTorch Experience with Hugging Face transformers or similar frameworks Solid experience deploying ML solutions on AWS Understanding of MLOps, model deployment and performance optimisation Ability to work in a consultancy environment with multiple clients Desirable: Experience with LLMs, RAG pipelines or generative AI applications ...

Strong technical skills in Python, Java/Go, TensorFlow, PyTorch, and data engineering. Proven ability to engage directly with CxO-level stakeholders. Experience in MLOps, AI governance, and large-scale deployment. Recognised professional certifications in AI or cloud technologies. If you have these skills and would like to find ...

methodology, and statistical evaluation Proven track record transitioning models from experimentation to production with appropriate governance and quality controls Experience with experiment tracking and MLOps tooling (MLflow, Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures It Would Be Great ...

ecosystems (BSS/OSS/Network/CX/Operations). Solid hands-on experience or strong working knowledge of: AI/ML pipelines, MLOps/LLMOps Generative AI (LLMs, RAG, embeddings, prompt engineering) Agentic AI frameworks and multi-agent orchestration Data platforms, big data tools, streaming analytics APIs, cloud ...

Microsoft AI Foundry or Ollama advantageous). Strong grasp of CI/CD, testing, version control, secure coding, and modern engineering workflows. Exposure to MLOps tools such as MLflow, Kubeflow, or Azure ML. ...

self-start when necessary. • Flexibility, we pride ourselves on doing what is necessary to make the whole organisation successful. Bonus Points: • Knowledge of MLOps principles and best practices. • Experience with distributed computing and large-scale data processing. How to apply? Please send a CV to danni@cortechtalentsolutions.co.uk ...

self-start when necessary. • Flexibility, we pride ourselves on doing what is necessary to make the whole organisation successful. Bonus Points: • Knowledge of MLOps principles and best practices. • Experience with distributed computing and large-scale data processing. How to apply? Please send ...

self-start when necessary. • Flexibility, we pride ourselves on doing what is necessary to make the whole organisation successful. Bonus Points: • Knowledge of MLOps principles and best practices. • Experience with distributed computing and large-scale data processing. How to apply? Please send ...

. AI & NLP - Practical experience in Artificial Intelligence and Natural Language Processing (NLP) . Cloud Platforms - Hands-on experience with AWS or Azure environments. MLOps & Deployment Experience in: - Model deployment and productionization - Model governance and lifecycle management - Version control tools such as Git - CI/CD pipelines for ML workflows ...

FastAPI. AI & NLP - Practical experience in Artificial Intelligence and Natural Language Processing (NLP). Cloud Platforms - Hands-on experience with AWS or Azure environments. MLOps & Deployment Experience in: - Model deployment and productionization - Model governance and lifecycle management - Version control tools such as Git - CI/CD pipelines for ML workflows ...

FastAPI. AI & NLP - Practical experience in Artificial Intelligence and Natural Language Processing (NLP). Cloud Platforms - Hands-on experience with AWS or Azure environments. MLOps & Deployment Experience in: - Model deployment and productionization - Model governance and lifecycle management - Version control tools such as Git - CI/CD pipelines for ML workflows ...

FastAPI. AI & NLP - Practical experience in Artificial Intelligence and Natural Language Processing (NLP). Cloud Platforms - Hands-on experience with AWS or Azure environments. MLOps & Deployment Experience in: - Model deployment and productionization - Model governance and lifecycle management - Version control tools such as Git - CI/CD pipelines for ML workflows ...

FastAPI. AI & NLP - Practical experience in Artificial Intelligence and Natural Language Processing (NLP). Cloud Platforms - Hands-on experience with AWS or Azure environments. MLOps & Deployment Experience in: - Model deployment and productionization - Model governance and lifecycle management - Version control tools such as Git - CI/CD pipelines for ML workflows ...

FastAPI. AI & NLP - Practical experience in Artificial Intelligence and Natural Language Processing (NLP). Cloud Platforms - Hands-on experience with AWS or Azure environments. MLOps & Deployment Experience in: - Model deployment and productionization - Model governance and lifecycle management - Version control tools such as Git - CI/CD pipelines for ML workflows ...

FastAPI. AI & NLP - Practical experience in Artificial Intelligence and Natural Language Processing (NLP). Cloud Platforms - Hands-on experience with AWS or Azure environments. MLOps & Deployment Experience in: - Model deployment and productionization - Model governance and lifecycle management - Version control tools such as Git - CI/CD pipelines for ML workflows ...