26 to 44 of 44 MLOps Jobs in Central London

solution lifecycle, from needs assessment to deployment and value realization. You will work with Deep Learning, Generative AI, and LLMs, creating scalable data and MLOps pipelines for training and production, while ensuring quality and reliability of deployed #J-18808-Ljbffr ...

ensure solutions are secure, ethical, and fit for purpose. Working across multidisciplinary teams, you'll drive innovation in areas like DevOps, platform engineering, and MLOps - balancing experimentation with governance and risk. What you'll be doing: Leading architecture, design, and delivery of digital & AI solutions Driving innovation across AI, analytics ...

monitoring, supportability and reliability concerns in production - Experience using infrastructure-as-code tools such as Terraform - Confidence taking responsibility for live systems and outcomes MLOps experience is highly attractive, particularly operating AI or machine learning models in production. The focus is on operating models, not training them. In Return ...

commercial value Design, develop, and deploy scalable machine learning, predictive analytics, and AI applications Drive technical best practices across data science, experimentation, model development, MLOps, and software engineering Collaborate closely with Data Engineering, Platform, and Product teams to deliver production‐grade solutions Contribute to the evolution of Howden … Skills Proven track record of building and deploying production‐grade AI/ML applications that generate measurable business value Experience working with Data Engineering, MLOps and Product teams to bringing Machine Learning systems from research all the way to deployment and maintenance Excellent Python programming skills and hands on experience ...

Face Transformers, timm, scikit-learn, NumPy, pandas, OpenCV. Production experience on AWS, specifically Amazon SageMaker: training and processing jobs, pipelines, model registry, endpoints. Practical MLOps: experiment tracking and model versioning with MLflow, hyperparameter optimisation, and reproducible, configuration-driven training runs. Containerisation and infrastructure as code: Docker and CUDA-based ...

TokenHub and MCP ecosystem, working with enterprise customers and cross-functional teams. Required are 2+ years in Gen AI/LLMs, strong cloud and MLOps experience, and excellent English. Mandarin is a plus for collaboration with China HQ. This role focuses on architecture, delivery, and customer success across enterprise accounts. ...

seeking an AI Engineer in London to design, build and deploy machine learning solutions for enterprise clients, spanning model selection, data pipelines, DevOps/MLOps and production-grade AI services. You will work with Python, C++, and frameworks like TensorFlow and PyTorch, on cloud platforms and scalable data architectures, with ...

customers. They will be subject matter experts in the areas of Predicative AI, Machine Learning, Generative AI along with associated capabilities in areas like MLops, Data Pipelines, and DevOps. The role will interface directly with the customers' business, data science and IT Operations teams to establish CDW credibility and position … learning, lab time and formal training. What you will do Position CDW Custom AI capabilities - Engage with all Customer AI personas: technical personas (CDO, MLOps, AI/ML Engineer, Data Scientist), outcome-driven personas (CEO, CTO, LOB) and ITDMs (CIO, VP Infrastructure). Technical SME on CDW Custom AI – Maintain ...

lifecycle — assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps & MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems. THE WORK Formulate real-world problems into practical, efficient, and scalable … Develop and implement machine learning algorithms, models, and computational systems design and build scalable data pipelines to support model training and production with DevOps & MLOps Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including ...

Platform Architect Own the end-to-end architecture of an enterprise AI platform across Azure and AWS. Design capabilities for ML training, model hosting, MLOps and Generative AI. Define architecture patterns for LLMs, RAG, vector search and agent-based frameworks. Evaluate AI technologies and select appropriate tooling based on technical … enterprise-scale AI or ML platforms. Strong architecture experience across Azure and AWS , including multi-cloud integration, networking, IAM and security. Deep understanding of MLOps , model training pipelines, orchestration, feature stores, model hosting and observability. Strong Generative AI architecture experience, including LLM hosting, RAG, vector databases, prompt orchestration and guardrails. ...

Science and machine learning across the organisation. Define approaches for model development, validation, deployment and lifecycle management. Develop scalable and repeatable Data Science and MLOps processes within the Azure Databricks Lakehouse environment. Collaborate with Data Engineering, Data Architecture and Data Governance teams to ensure Data Science solutions align with wider … model development. Exposure in developing Data Science solutions within Azure Databricks or similar cloud-based analytics platforms. Proficiency in implementing or working with MLOps practices, including model deployment, version control, monitoring and lifecycle management. Know-how of translating business challenges into practical Data Science solutions and communicating insights ...

An AI Solution Architect is responsible for designing and overseeing the implementation of technical solutions, specifically those involving how we build and operate with AI. The role exists within our Corporate function to enforce keeping ...

Senior Data Scientist £75,000 + benefits | Holborn, London | Office-based Monday-Thursday Build AI-powered products that turn customer data into commercial impact. Join an established analytics and technology business developing cutting-edge SaaS ...

knowledge-graph retrieval, partnering with product, data science, and Responsible AI teams to deliver scalable, governed systems using cloud platforms and industry-standard MLOps tools. #J-18808-Ljbffr ...

MLOps Engineer (Platform/DevOps) - AI Platform - 3 days per week onsite We're partnering with a leading organisation on a high-profile AI initiative, seeking an experienced MLOps/Platform Engineer to build and scale infrastructure supporting advanced AI solutions. The Role You'll play a key role ...

Recruitment Limited is partnering with a leading organisation on a high-profile AI initiative to recruit an experienced MLOps/Platform Engineer. You will design, deploy, and operate a secure, scalable platform for AI workloads and agents, working closely with Data Science and Engineering teams to ensure robust infrastructure ...

research or AI engineering, including hands-on work with LLMs, model fine-tuning and agentic systems. Experience with computer vision, model evaluation frameworks and MLOps practices would be highly beneficial. This is an excellent opportunity for someone who thrives in a fast-paced environment and wants to work on genuinely … Strong experience with LLMs, prompt engineering and model fine-tuning Experience building, testing or deploying agentic AI systems Knowledge of model evaluation, benchmarking and MLOps best practices Passion for emerging AI technologies and solving real-world problems Reference Number: BBBH(phone number removed) Rise Technical Recruitment Ltd acts an employment ...

Accenture is seeking an AI/ML Computational Scientist to design, build, and operate AI/ML solutions for enterprise clients, combining custom models with cloud services to deliver production-ready outcomes. You will manage ...

Unity Advisory is seeking a client-facing AI Architect to design and deliver scalable AI architectures for enterprise clients. You will collaborate with engineers and consultants to turn ambitious ideas into production-ready systems. The ...