226 to 250 of 409 MLOps Jobs in London

digital banking innovation and is shaping the future of financial services with AI/ML. As Lead Software Engineer in the International Consumer Bank MLOps team, you will design, build, and deploy scalable AI/ML solutions that empower data scientists and product teams to deliver secure, customer-focused systems. ...

models, deploy generative AI solutions, and work with stakeholders to translate business needs into technical solutions. The role emphasizes collaboration, cloud deployment on AWS, MLOps, and mentoring, with opportunities to grow in an inclusive, distributed team focused on real-world problems such as fraud #J-18808-Ljbffr ...

track record overseeing budgets, risk governance and influencing contractual terms Practical knowledge of modern data platforms, AI and Generative AI concepts (Machine Learning, LLMs, MLOps) sufficient to challenge and assess technical proposals Awareness of regulatory and ethical considerations in data and AI, including data protection and responsible AI adoption Excellent ...

utilisation by addressing bottlenecks across compute, memory and data pipelines; collaborate with energy teams on power-aware scheduling Architect scalable AI platforms integrating MLOps frameworks, automation tools and reusable assets Develop repeatable AI/HPC offerings, contribute to solution roadmaps and establish strategic partnerships with major ecosystem players Track industry ...

technical advisory, translating complex infrastructure trade‐offs into clear, defensible recommendations tied to business outcomes. Define monitoring, observability, and reliability strategy across InfraOps and MLOps, and implement the instrumentation, SLAs, SLOs, and cost/performance governance for production AI/ML systems. Ensure enterprise integration, security, compliance, and regulatory alignment ...

into useful, validated models. Strong Python or R skills, including production-quality, version-controlled code. Experience with cloud data platforms (we use Snowflake) and MLOps practices. This is an opportunity to build a new capability from the ground up and shape how QIMA uses its biological data. You will have ...

with version control (e.g., Git) and collaborative development Experience in using computing environments Strong problem-solving skills and willingness to learn Desirable: Familiarity with MLOps tools (e.g. MLflow, Weights & Biases) Exposure to natural language processing (LLMs, agents), computer vision, or reinforcement learning We actively recruit citizens of all backgrounds ...

data. Good communication skills, comfortable working with engineers and presenting to leadership. Desirable Experience in AI/ML, autonomous vehicles, or robotics. Familiarity with MLOps methodologies and tooling. Experience with ML evaluation practices and tooling — especially for physical systems: simulation, model leaderboards, statistically powered experiments (e.g. A/ ...

Infrastructure Strategy & Automation: Define the infrastructure roadmap for AI/ML workloads and automate provisioning across cloud environments using Infrastructure as Code (IaC). MLOps & LLMOps Engineering: Architect, maintain, and optimise robust MLOps/LLMOps pipelines and CI/CD frameworks for continuous model deployment. GenAI Production Deployment: Deploy Large ...

3004 Avanade UK Limited Company is seeking an Azure Data Support Engineer based in London or Newcastle. The successful candidate will support Azure data solutions and manage CI/CD pipelines, ensuring robust performance. This ...

Productionise PoC/PoV work into hardened solutions with clear non-functional requirements (performance, resilience, cost, security) and defined service ownership Build and maintain MLOps/LLMOps pipelines (CI/CD, automated testing, packaging, promotion/rollback, model/version management) to enable repeatable releases Develop reusable engineering assets (libraries … experience with AI deployment patterns and infrastructure (e.g. containerisation with Docker, orchestration such as Kubernetes, API-based serving, batch/stream inference) Practical MLOps experience: CI/CD for ML, model packaging and release management, automated validation, monitoring, and lifecycle management Working knowledge of ML/DL frameworks and tooling ...

Management and Government business stakeholders across the full lifecycle, from hypothesis through to production deployment. Leveraging our AWS-based infrastructure you will apply modern MLOps/LLMOps tooling to run rigorous experiments, track results, and deliver scalable solutions. A key aspect to the role is to balance rapid experimentation with … 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 Familiarity with LLMOps tooling such ...

Senior Machine Learning Platform/Ops Engineer Location London Employment Type Full time Location Type Hybrid Department We power people’s progress. At Preply, we’re all about creating life-changing learning experiences. We help ...

Senior MLOps Engineer London (Hybrid) | Salary: up to £85,000 This is an opportunity to join a growing AI and data organisation where your work will directly support the deployment, scalability, and reliability of innovative machine learning solutions. You will play a pivotal role in building the infrastructure that enables … enable successful AI delivery. Contribute to AI governance, best practices, and responsible AI principles across the organisation. Your Skills & Experience Strong commercial experience within MLOps, Platform Engineering, or Infrastructure Engineering supporting machine learning systems. Advanced Python programming skills with a strong software engineering mindset. Hands-on experience with Azure-native ...

APIs and services that accelerate AI delivery across multiple teams. Evaluate emerging technologies and establish best practices for the adoption of AI at scale. MLOps & LLMOps Design and implement MLOps and LLMOps frameworks supporting the full model lifecycle. Establish standards for model deployment, versioning, evaluation, monitoring and observability. Improve reproducibility ...

/AI solutions across client projects. You will collaborate with data scientists, engineers and consultants from data preparation to production monitoring. Role emphasizes MLOps, governance, and ethical AI, with mentorship of junior team members. Hybrid working and a broad benefits package are provided. #J-18808-Ljbffr ...

deliver and industrialize data science products across Retail & eCommerce. The role supports the data science platform, running with Managed Services, and shapes the MLOps framework for cross-functional teams. The ideal candidate has 10+ years in Data & Analytics, hands-on Azure Databricks, and leadership experience across global teams. Hybrid working ...

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 ...

deploy AI-powered CV/vision solutions in a hybrid North London setting. You will build scalable data pipelines, fine-tune models, and apply MLOps across the lifecycle to ensure high-quality, responsible AI. You will collaborate with product and cloud teams to deliver secure, scalable AI that enhances customer ...

they can run without you. What we are looking for Proven contract delivery in production machine learning environments. Strong Python, cloud ML tooling and MLOps discipline. Experience with healthcare, life sciences or another regulated data domain is useful. Available at short notice and comfortable operating outside IR35. Engagement ...

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 ...

migration roadmap, and reusable assets. Support discovery activities and translate findings into practical migration approaches. Qualifications Demonstrate strong experience with Azure ML and enterprise MLOps platforms. Bring hands-on experience with ML platform migration. Possess a strong engineering background with proven hands-on delivery experience. Demonstrate the ability to contribute ...

technical stakeholders. Ability to work independently on operational delivery while contributing constructively to longer-term framework design. Prior experience with model inventory, MLOps, or model risk management tooling, and exposure to governance framework or policy development. Work in a Way That Works for You We promote a healthy work/ ...

internal capability Bonus Points For Prior experience in business development or pre‐sales within a consultancy environment Hands‐on familiarity with modern data science, MLOps or AI operationalisation Knowledge of data ethics, AI governance or analytics operating models Change management or business analysis experience within large transformation programmes Confidence ...