326 to 350 of 414 MLOps Jobs in the UK

Build and scale NLP and ML models that turn complex organisational data into meaningful insights. Lead and develop a small ML engineering team, acting as a player-coach. Establish MLOps, monitoring, governance, and responsible AI practices. Work cross-functionally with Product, Engineering, and Customer teams. Represent AI and technology thinking to customers, partners, and the leadership team. What this VP … Learning will bring: Deep experience in NLP/LLMs/semantic search/embeddings Proven ability to design, deploy, and scale machine learning systems in production. Strong knowledge of MLOps (model versioning, monitoring, evaluation, drift detection). Hands-on expertise in Python, PyTorch/TensorFlow, HuggingFace, and vector search technologies. Experience leading or mentoring small, senior ML/data teams. More ❯

LLM models; build LLM apps with LangChain/LangGraph; apply multimodal AI, prompt engineering, fine-tuning, and model optimization; ensure scalable, reliable, and business-aligned AI solutions. - Platform & Operations (MLOps): Deploy and operate services on Azure; implement CI/CD and Infrastructure as Code; add monitoring, logging, and observability; ensure reliability, fault tolerance, and performance optimization. - Governance & Security: Enforce data … integration skills. - Experience with ML/LLM frameworks (PyTorch, TensorFlow, scikit-learn, LangChain/LangGraph, LlamaIndex). - Familiarity with cloud deployment (Azure), CI/CD, Infrastructure as Code, and MLOps best practices. - Knowledge of databases, vector search, and knowledge graphs. - Understanding of security, compliance, and ethical AI. Personal Attributes: - Passionate, pragmatic, and self-driven with strong technical leadership. - Able to More ❯

LLM models; build LLM apps with LangChain/LangGraph; apply multimodal AI, prompt engineering, fine-tuning, and model optimization; ensure scalable, reliable, and business-aligned AI solutions. - Platform & Operations (MLOps): Deploy and operate services on Azure; implement CI/CD and Infrastructure as Code; add monitoring, logging, and observability; ensure reliability, fault tolerance, and performance optimization. - Governance & Security: Enforce data … integration skills. - Experience with ML/LLM frameworks (PyTorch, TensorFlow, scikit-learn, LangChain/LangGraph, LlamaIndex). - Familiarity with cloud deployment (Azure), CI/CD, Infrastructure as Code, and MLOps best practices. - Knowledge of databases, vector search, and knowledge graphs. - Understanding of security, compliance, and ethical AI. Personal Attributes: - Passionate, pragmatic, and self-driven with strong technical leadership. - Able to More ❯

Data, Integration & Readiness Partner with Data Engineering teams to ensure robust data pipelines and contextual data foundations for AI agents. Oversee the design of enterprise-grade data, integration and MLOps patterns to support scalable AI workloads. Security, Ethics & Risk Management Embed Ethical AI, security-by-design, privacy, and regulatory compliance across all AI architectures. Define risk controls, safe-use policies … systems and Generative AI solutions Strong knowledge of Azure cloud-native architecture Practical experience with Python-based agent frameworks (e.g., LangChain, AutoGen) Deep knowledge of AI governance, data security, MLOps/LLMOps Strong stakeholder engagement skills, with the ability to influence at C-suite level Proven track record of delivering scalable AI solutions with measurable business value If you are More ❯

Engineering & Semantic Search . Edge AI & Real-Time AI Deployments . Act as the architect and reviewer of AI systems, ensuring scalability, robustness, and compliance. Guide the adoption of MLOps best practices (CI/CD for ML, monitoring, retraining, governance). Drive innovation while balancing pragmatism and production readiness . Mentorship & Team Development Build and grow a world-class AI … architectural & practical) of: LLMs, RAG, and AI Agents . Predictive analytics & time-series forecasting . Computer vision, multimodal learning, and geospatial AI . Reinforcement learning and optimization techniques . MLOps practices & data pipelines . Ability to review code, design architectures, and guide technical teams . Advanced degree (Master’s or PhD is a plus) in Computer Science, AI, Data Science More ❯

Using frameworks like LangChain , PyTorch , and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers to ensure the pipelines and data structures feeding the models are …/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how to take models from concept to production. A collaborative mindset - you enjoy working closely with Product and Data teams and mentoring others when needed. Curiosity, experimentation, and a More ❯

Using frameworks like LangChain , PyTorch , and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers to ensure the pipelines and data structures feeding the models are …/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how to take models from concept to production. A collaborative mindset - you enjoy working closely with Product and Data teams and mentoring others when needed. Curiosity, experimentation, and a More ❯

Using frameworks like LangChain , PyTorch , and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers to ensure the pipelines and data structures feeding the models are …/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how to take models from concept to production. A collaborative mindset - you enjoy working closely with Product and Data teams and mentoring others when needed. Curiosity, experimentation, and a More ❯

Using frameworks like LangChain , PyTorch , and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers to ensure the pipelines and data structures feeding the models are …/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how to take models from concept to production. A collaborative mindset - you enjoy working closely with Product and Data teams and mentoring others when needed. Curiosity, experimentation, and a More ❯

Using frameworks like LangChain , PyTorch , and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers to ensure the pipelines and data structures feeding the models are …/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how to take models from concept to production. A collaborative mindset - you enjoy working closely with Product and Data teams and mentoring others when needed. Curiosity, experimentation, and a More ❯

Using frameworks like LangChain , PyTorch , and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers to ensure the pipelines and data structures feeding the models are …/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how to take models from concept to production. A collaborative mindset - you enjoy working closely with Product and Data teams and mentoring others when needed. Curiosity, experimentation, and a More ❯

Using frameworks like LangChain , PyTorch , and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers to ensure the pipelines and data structures feeding the models are …/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how to take models from concept to production. A collaborative mindset - you enjoy working closely with Product and Data teams and mentoring others when needed. Curiosity, experimentation, and a More ❯

Using frameworks like LangChain , PyTorch , and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers to ensure the pipelines and data structures feeding the models are …/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how to take models from concept to production. A collaborative mindset - you enjoy working closely with Product and Data teams and mentoring others when needed. Curiosity, experimentation, and a More ❯

Using frameworks like LangChain , PyTorch , and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers to ensure the pipelines and data structures feeding the models are …/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how to take models from concept to production. A collaborative mindset - you enjoy working closely with Product and Data teams and mentoring others when needed. Curiosity, experimentation, and a More ❯

Using frameworks like LangChain , PyTorch , and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers to ensure the pipelines and data structures feeding the models are …/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how to take models from concept to production. A collaborative mindset - you enjoy working closely with Product and Data teams and mentoring others when needed. Curiosity, experimentation, and a More ❯

Using frameworks like LangChain , PyTorch , and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers to ensure the pipelines and data structures feeding the models are …/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how to take models from concept to production. A collaborative mindset - you enjoy working closely with Product and Data teams and mentoring others when needed. Curiosity, experimentation, and a More ❯

Using frameworks like LangChain , PyTorch , and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers to ensure the pipelines and data structures feeding the models are …/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how to take models from concept to production. A collaborative mindset - you enjoy working closely with Product and Data teams and mentoring others when needed. Curiosity, experimentation, and a More ❯

Unitary's future. Take ownership of customer outcomes with the autonomy to make decisions that surprise and delight our customers. Contribute full-stack development including software engineering, DevOps, and MLOps, along with light task and project management to ensure your AI solutions deliver maximum value. We are looking for someone who is as excited about Unitary's mission as we … better, but not essential, if you have: Experience working in a fully remote, international team Previous startup experience A background in building and operating agentic AI systems Experience with MLOps practices and tools, and monitoring machine learning systems in production Knowledge of CI/CD practices and tools such as GitLab CI, Argo CD Proficiency with SQL and NoSQL databases More ❯

Unitary's future. Take ownership of customer outcomes with the autonomy to make decisions that surprise and delight our customers. Contribute full-stack development, including software engineering, DevOps, and MLOps, along with light task and project management to ensure your AI solutions deliver maximum value. Requirements You We are looking for someone who is as excited about Unitary’s mission … better, but not essential, if you have: Experience working in a fully remote, international team Previous startup experience A background in building and operating agentic AI systems Experience with MLOps practices and tools, and monitoring machine learning systems in production Knowledge of CI/CD practices and tools such as GitLab CI, Argo CD Proficiency with SQL and NoSQL databases More ❯

productionising machine learning lifecycles, adhering to best practices, security needs and quality assurance. Developing deep learning architectures and implementing neural networks tailored to complex use cases. Implementing and maintaining MLops workflows Collaborating closely with Data Engineers and DevOps teams to support continuous integration, deployment, and automation. Exploring new tools and frameworks to keep your solutions modern and efficient. Working with … of machine learning architectures, loss functions, tools and techniques. Experience developing & training machine learning models, including hyperparameter tuning and optimizing model performance. Experience with (or at least exposure to) MLOps workflows, such as CI/CD pipelines. Experience with Python and SQL. Critical thinking and ability to problem solve. Experience in developing data pipelines, including exposure to ETL (Extract, Transform More ❯

to help us deliver some key projects. Key Responsibilities Ingesting and understanding new data sources, evolving our data approach (e.g., to a fully-fledged data fabric), implementing and streamline MLOps processes and exploring how we can sensibly and safely utilise artificial intelligence (AI) to turbo charge our work (e.g., smart data quality monitoring, meta data curation and service optimisation). … Understanding of Cloud security frameworks (specifically on the AWS Cloud) including appropriate data encryption Desirable Utilising AI within data engineering to drive performance Facilitating search tools such as Solr MLOps experience including familiarity with tools such as DVC & mlflow Full data engineering cycle knowledge (tools and skills) for stream data The Person You are someone who: Takes ownership and thrives More ❯

Lemongrass (lemongrasscloud.com) is a global leader in SAP consulting, focused on helping organizations transform their business processes through innovative solutions and technologies. With a strong commitment to customer success, Lemongrass partners with companies to drive their digital transformation journeys, enabling More ❯

building data-centric APIs using FastAPI , especially in serverless environments (e.g., Google App Engine) Streaming Data: Familiarity with real-time data pipelines and data ingestion at scale DevOps/MLOps: Exposure to Terraform , Docker , Kubernetes , and MLOps workflows What They Offer A chance to work on real-world data that impacts elite football performance Access to high-value datasets , sports More ❯

building data-centric APIs using FastAPI , especially in serverless environments (e.g., Google App Engine) Streaming Data: Familiarity with real-time data pipelines and data ingestion at scale DevOps/MLOps: Exposure to Terraform , Docker , Kubernetes , and MLOps workflows What They Offer A chance to work on real-world data that impacts elite football performance Access to high-value datasets , sports More ❯

AI Engineer Up to £90,000 Salary Southern England x2 days per month OVERVIEW Xcede’s Data-driven Insurance client with an excellent Data Science, ML Engineering and MLOps team is hiring for an AI Engineer to join their AI unit. The organisation have been building commercially successful Data Science products for years, and are now pushing further into Generative … deployed machine learning models in production. Excellent use of Python Particular experience in NLP, LLMs, and RAGs are highly prized given the focus on these projects. CI/CD & MLOps experience is valued Databricks experience is valued If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel More ❯