51 to 75 of 305 MLOps Jobs in England

example the EU AI Act, NIST AI RMF, or ISO/IEC 42001 Hands‐on familiarity with model evaluation, prompt evaluation, RAG architectures, MLOps concepts and observability for AI systems (essential at Senior and Lead levels) Knowledge of partner platforms — agentic workflow tooling, hyperscaler AI platforms (AWS, Azure, Google Cloud ...

personalization Forecasting and optimization Ensure models are scalable, explainable, and production-ready Work closely with engineering teams to operationalize models within production environments (MLOps) Product & Innovation Partner with Product, Engineering, and Architecture teams to embed AI capabilities into SBS solutions Identify opportunities to leverage AI/ML to enhance banking ...

Supporting the full ML lifecycle, from experimentation to deployment and optimisation.* Applying best practices in data engineering and contributing to architectural decisions.* Using modern MLOps tools and CI/CD approaches to improve reliability and efficiency.* Contributing to a culture of knowledge-sharing and continuous improvement.## ## Technical ExperienceWe ...

Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns. Experience in fine-tuning LLMs for domain-specific enterprise applications. Strong expertise in MLOps and LLMOps, ensuring scalable, reliable, and monitorable model deployments. Experience with agentic frameworks and autonomous agent architectures. Proficiency in Python and modern software development practices ...

Trips vertical. Talent Multiplier: Mentor and coach senior and mid‐level ML scientists. Foster a culture of technical excellence, driving best practices for MLOps, rigorous A/B testing, data privacy, and code quality. Skills & Experience Education: Ph.D. or Master’s degree in Computer Science, Machine Learning, Statistics ...

curated data layers. Establish and enforce standards for coding, CI/CD, testing, and deployment across all data delivery teams. Ensure consistent implementation of MLOps & MLflow for model lifecycle management and reproducibility. Establish & Lead Data Solution Architecture practice to ensure design integrity and proper execution of data architecture patterns. Lead ...

into AI-led solutions Advise stakeholders on AI strategy, feasibility, and roadmap Leadership: Guide and mentor AI/engineering teams Set best practices across MLOps/LLMOps/AI governance Contribute to reusable frameworks and accelerators What youll need (must-have): Experience as an AI Architect/ML Architect/ ...

validating continuous monitoring frameworks for AI models. Experience with Azure Databricks, MLflow, Azure ML Services or similar platforms. Experience working within DevOps or MLOps environments. Experience with Docker and Kubernetes. Existing network within the UK AI, analytics or technology ecosystem. ...

systems, not just research prototypes Strong software engineering fundamentals: modular design, testing, and version control Experience with cloud/GPU training infrastructure and MLOps workflows Ability to design evaluation and benchmarking frameworks Hands-on experience with pose estimation, object detection/segmentation, camera calibration, and sensor integration Preferred Experience Strong ...

commercial problems Develop, validate, deploy, and monitor machine learning models in production environments Build and maintain end-to-end data science solutions using modern MLOps practices Use cloud-based platforms (notably Databricks) to develop scalable data products Translate complex analytical outputs into clear, business-focused insights Collaborate with technical ...

resolve incidents efficiently. Continuously improve ML Ops processes, tooling, and automation for efficiency and reliability. What Were Looking For Essential: 5+ years experience in MLOps, DevOps, or related roles. Strong knowledge of ML lifecycle management, deployment, monitoring, and model maintenance. Hands-on experience with Python (and ML frameworks), containerisation (Docker ...

Competencies Exposure to AI governance, security, or compliance considerations. Experience deploying ML models in cloud environments (Azure preferred, AWS acceptable). Familiarity with MLOps practices (model versioning, evaluation, monitoring, iteration). Experience working with non‐ideal, real‐world data rather than curated research datasets. Experience working in both enterprise ...

assessment flows, or dashboard‐based visibility.* Exposure to AI FinOps, such as cost‐aware model selection, unit economics, or prompt‐efficiency practices.* Experience with MLOps or AI delivery tooling, or with AI‐specific observability systems.* Participation in industry communities or standards bodies, with the ability to translate external practice into ...

track record of developing and deploying models at scale Expertise in Python, ML frameworks (TensorFlow, PyTorch), and experience with cloud platforms Strong familiarity with MLOps principles, CI/CD pipelines, and containerization (Docker, Kubernetes) With preferred backgrounds covering some of the following: Experience with speech‐to‐text or text ...

Senior/Mid-Level MLOps Engineer Manchester (Hybrid) £45,000 - £80,000 + Bonus A fast-growing AI & Machine Learning consultancy is looking to hire multiple MLOps Engineers as they scale their technical team following continued growth across major public sector and enterprise projects. This is an opportunity to join … impact environments. What you’ll be doing: Building and deploying production-grade ML systems Working across cloud infrastructure, automation and model serving Designing scalable MLOps pipelines and infrastructure Collaborating closely with engineers, data scientists and clients Contributing to architecture decisions and engineering best practices Supporting the deployment and monitoring ...

system design. Desirable (AI & Data) Vector DBs: Milvus, Weaviate, Pinecone Data orchestration: Airflow, Prefect, Dagster Search: ElasticSearch/OpenSearch AI frameworks: LangChain, Hugging Face MLOps: MLflow, Kubeflow If you are looking for an opportunity to work on mission-critical systems at the forefront of UK National Security? Apply ...

LLMs and RAG architectures. Python: Strong proficiency alongside PySpark for data engineering. Azure: Deep familiarity with native tools (AI Search, Document Intelligence). MLOps: Understanding of LLMOps frameworks for production deployment. 6 Months Remote Contract | £600 a day inside IR35 | Active Security Clearance Are you a seasoned technical leader with ...

LLMs and RAG architectures. Python: Strong proficiency alongside PySpark for data engineering. Azure: Deep familiarity with native tools (AI Search, Document Intelligence). MLOps: Understanding of LLMOps frameworks for production deployment. 6 Months Remote Contract | £600 a day inside IR35 | Active Security Clearance Are you a seasoned technical leader with ...

tools like Spark, Hive or Redshift A track record of leading cross-functional teams and communicating technical concepts to non-technical audiences Experience with MLOps practices - CI/CD, model monitoring, DevOps integration ADVERT DISCLAIMER Research indicates that men will apply to a role when they only meet ...

associated architecture patterns Experience designing and managing APIs including REST and GraphQL Strong understanding of microservices and serverless architectures Practical experience with DevOps and MLOps practices including CI/CD pipelines Knowledge of security frameworks, identity management and authentication standards Desirable Skills for the AI Solutions Architect: Experience with enterprise ...

engineers, business stakeholders) to define project scope, interpret model results, and clearly present data-driven recommendations to both technical and non-technical audiences. Deployment & MLOps: Collaborate with ML/Data Engineers to deploy, monitor, and maintain ML models in a production environment, ensuring stability and performance over time. Required Skills ...

Architect secure, scalable GenAI solutions on AWS and GCP Build APIs, services, and pipelines to integrate GenAI into real business workflows Apply LLMOps/MLOps practices: versioning, monitoring, cost control, bias, and drift management Work directly with clients to translate business problems into deployable AI solutions, not slide decks Contribute ...

frameworks such as PyTorch, TensorFlow, or JAX • Experience building scalable ML systems for production environments • Familiarity with cloud or GPU based training infrastructure and MLOps workflows • Experience designing evaluation, testing, and benchmarking frameworks • Hands on experience with object detection, segmentation, pose estimation, camera calibration, and sensor integration Additional experience with ...

Willingness to work on‐site in our Alkmaar office Nice to Have (But Not Required) Experience deploying ML models into production environments Familiarity with MLOps tooling such as MLflow, CI/CD workflows, and model monitoring Experience with AWS, Azure, or GCP Understanding of real‐time systems, motion synthesis ...

successful deployment and adoption across the business. Take ownership of AI-enabled products, from early concept and prototyping through to production and scaling (including MLOps). Align AI initiatives with business objectives, defining use cases, and ensuring solutions deliver meaningful commercial value. Build strong relationships with stakeholders and external partners ...