76 to 100 of 305 MLOps Jobs in England

ecosystem. Experience working with Generative AI and agent‐based frameworks such as LangChain or LangGraph. Clear understanding of the Machine Learning development lifecycle and MLOps principles. Proven experience delivering AI solutions into production environments including cloud‐based services. Confidence working with CI/CD, data pipelines and containerised deployments such ...

assistants. Familiarity with scientific, biomedical, or scholarly datasets and workflows. Experience with knowledge graphs, ontologies, or semantic enrichment systems. Experience with production ML systems, MLOps, and AI governance practices. Publications or applied research contributions in NLP, IR, search, recommendation systems, or generative AI. Experience building AI systems in high‐trust ...

years of experience in software engineering with a proven track record in a DevSecOps and Agile environment. Deep practical experience with RAG, LLMs, and MLOps, alongside expert proficiency in Python, React, and TypeScript. What will give you a competitive edge (preferred qualifications): Expert-level understanding of NLP, Embeddings, and Prompt ...

Desirable: Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines Experience working with hardware simulators or emulators (e.g. QEMU). Experience developing for or working with FPGA-based systems. Experience with people management ...

years of experience in software engineering with a proven track record in a DevSecOps and Agile environment.* Deep practical experience with RAG, LLMs, and MLOps, alongside expert proficiency in Python, React, and TypeScript.**What will give you a competitive edge (preferred qualifications):*** Expert-level understanding of NLP, Embeddings, and Prompt ...

experience and knowledge of technical approach to model development and contemporary ML engineering, including 3rd party platforms, routes to live and CICD pipelines for MLOps and data science maintaining a disciplined, auditable approach to architectural decision making aligned to agile principles working with other teams to ensure smooth operational introduction ...

agentic frameworks (e.g., LangChain, LlamaIndex, Crew AI, AutoGen, n8n), ensuring scalable, production‐ready solutions that empower developers and align with business outcomes. DevSecOps & DevOps MLOps Infrastructure as Code Data Engineering: including platforms like Databricks for data processing and analytics. Building a truly diverse, equitable, and inclusive workplace is an ongoing ...

related fields. Strong knowledge of AI, machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). ...

related fields. Strong knowledge of AI, machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). ...

related fields. Strong knowledge of AI, machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). ...

related fields. Strong knowledge of AI, machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). ...

services. AI & ML Leadership Architect advanced Data Science, ML and AI solutions, including NLP, RAG LLM and Agentic AI systems. Oversee the implementation of MLOps frameworks, ensuring robust deployment, monitoring, and lifecycle management of ML models. Evaluate and recommend emerging AI/ML technologies and platforms, driving innovation in intelligent … data governance, and quality frameworks. Implementing technical reviews and driving high standards. Collaborate with engineering and DevOps teams to establish CI/CD and MLOps architectures using Azure DevOps, Kubernetes, and Terraform. Guide the selection and implementation of visualization and analytics tools (Power BI, Tableau, PowerApps). Stakeholder Engagement Engage ...

services. AI & ML Leadership Architect advanced Data Science, ML and AI solutions, including NLP, RAG LLM and Agentic AI systems. Oversee the implementation of MLOps frameworks, ensuring robust deployment, monitoring, and lifecycle management of ML models. Evaluate and recommend emerging AI/ML technologies and platforms, driving innovation in intelligent … data governance, and quality frameworks. Implementing technical reviews and driving high standards. Collaborate with engineering and DevOps teams to establish CI/CD and MLOps architectures using Azure DevOps, Kubernetes, and Terraform. Guide the selection and implementation of visualization and analytics tools (Power BI, Tableau, PowerApps). Stakeholder Engagement Engage ...

MLOps Engineer (Mid–Senior Level) Multiple Positions Available Our client is a fast-growing, specialist technology consultancy focused on helping organisations successfully deploy and scale machine learning solutions in production. Operating at the forefront of AI and modern engineering, they partner with a wide range of clients to turn cutting … this organisation offers engineers the chance to work on meaningful problems while developing deep expertise in a rapidly evolving space. Role Overview: As an MLOps Engineer, you will play a key role in delivering production-ready machine learning systems within cross-functional engineering teams. Working across multiple client engagements ...

automation workflows • Build scalable APIs, backend services, and integrations • Define and mature the organisation’s AI architecture and engineering standards • Implement robust DevOps/MLOps practices for AI systems • Mentor engineers and improve AI delivery capability across the team • Work closely with product and business stakeholders to shape ...

Working closely with product, engineering, and business stakeholders to define requirements and trade offs. Deploying models using cloud infrastructure, CI/CD pipelines, and MLOps best practices. Taking responsibility for monitoring, performance, and ongoing improvement of live models. Your Skills and Experience Strong commercial data science experience with a solid ...

processes Familiarity with cloud platforms, particularly Microsoft Azure Understanding of microservices architecture and distributed systems Experience with DevOps practices for AI/ML workflows (MLOps) Strong programming skills in Python and related data science libraries Demonstrated ability to work within solution architecture frameworks Preferred Qualifications Experience with multiple cloud providers ...

Adaptive Decision Manager in production environments is highly desirable. * Exposure to real-time decisioning, customer engagement, or personalisation use cases is advantageous. * Familiarity with MLOps practices and model monitoring frameworks is beneficial. How to Apply If you are looking for a senior data science role where you can combine technical ...

Desirable: Defence or National Security experience AI Safety, Explainable AI or AI Security knowledge Edge or air-gapped deployments AWS, Azure or GCP experience MLOps and production AI deployment experience Why Join? You'll be joining a highly ambitious organisation at the forefront of Defence and AI, working on meaningful ...

OpenAI, Document Intelligence (Form Recognizer), and Cognitive Search. Data Engineering: Expert proficiency in Python and PySpark for large-scale data processing. Operations: Familiarity with MLOps or LLMOps frameworks to support production-grade AI. Seniority: 15+ years of total IT experience, showing a clear progression into technical leadership. Candidate Profile Must ...

OpenAI, Document Intelligence (Form Recognizer), and Cognitive Search. Data Engineering: Expert proficiency in Python and PySpark for large-scale data processing. Operations: Familiarity with MLOps or LLMOps frameworks to support production-grade AI. Seniority: 15+ years of total IT experience, showing a clear progression into technical leadership. Candidate Profile Must ...

complex technical challenges into clear, business-focused insights A passion for raising engineering standards and mentoring others Experience with GA4 data modelling or supporting MLOps environments (e.g. Vertex AI) would be a bonus. About Matalan From humble beginnings to disruptive innovations in the retail industry, find out about how Matalan ...

copilots/agents (e.g., vibe coding) to validate value and architectural fit Core Skills AI/ML and GenAI fundamentals (LLMs, RAG, AI agents, MLOps) Business consulting, problem framing, and architecture-to-value storytelling Program leadership and stakeholder management across product, engineering, and architecture teams Commercial acumen and deal shaping ...

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 ...

Synapse, BigQuery) Ensure robust data engineering practices (Airflow, dbt, Prefect) and governance (Collibra, Purview) Drive scalable lakehouse architectures (Delta Lake, Iceberg, Hudi) Cloud, Infrastructure & MLOps Champion multi-cloud engineering across Azure, AWS, and GCP Lead MLOps strategy (MLflow, Kubeflow, SageMaker, Vertex AI) and CI/CD pipelines Ensure scalable deployments … across academia, startups, and hyperscalers Your Background Proven experience leading enterprise-scale AI transformation programmes Deep technical expertise across Python, .NET, cloud platforms, and MLOps Strong understanding of data governance, architecture, and DevSecOps Demonstrated ability to deliver measurable business outcomes and ROI Exceptional stakeholder management and executive communication skills Additional ...