26 to 50 of 83 MLOps Jobs in London

architectures . Expert-level SQL and experience with BigQuery and vector databases (Pinecone, Weaviate, Vertex AI Search). Proven track record in MLOps and deploying ML models at scale. Experience moving LLM-based prototypes into production environments with thousands of users. Background in building internal tooling, CRM enhancements, or sales ...

architectures . Expert-level SQL and experience with BigQuery and vector databases (Pinecone, Weaviate, Vertex AI Search). Proven track record in MLOps and deploying ML models at scale. Experience moving LLM-based prototypes into production environments with thousands of users. Background in building internal tooling, CRM enhancements, or sales ...

product selling. Demonstrated success in selling: Generative AI and LLM-based enterprise solutions Predictive and prescriptive analytics Intelligent Automation (RPA + AI) Data Engineering, MLOps, and AI platforms Ability to articulate AI ethics, governance, security, and compliance considerations. Experience selling Managed AI Services and AI-as-a-Service models . ...

platforms, frameworks, and libraries 📚 Extensive experience with end-to-end model design and deployment within cloud environments ☁️ A systems thinking approach 🌐, with passion for MLOps best practises 🌀 An engineer that can think in O(n) as much as plan the orchestration of their product. Solid understanding of data structures, data ...

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 ...

Lead MLOps Engineer - London - Permanent London, UK (If you like the sound of this role and want to relocate - the Client is willing to help facilitate this move!) This is a high-impact role within a fast-growing AI and robotics organisation focused on building advanced, scalable intelligent systems … real-world industrial applications. The position owns the machine learning infrastructure and MLOps foundations as products, platforms, and teams scale. You will play a key role in transforming machine learning prototypes into reliable production systems, defining pragmatic engineering standards, and enabling fast, safe delivery of ML-powered capabilities. The role ...

globally. Key Responsibilities Research and develop state-of-the-art ML algorithms for network orchestration Build and manage ML training infrastructure using Kubernetes and MLOps tools Develop and maintain documentation for new algorithms and systems Integrate AI/ML solutions into the wider Spacetime platform Act as a technical expert ...

unblock compute and data challenges What We’re Looking For Strong experience in one or more of: Platform/infrastructure engineering ML infrastructure or MLOps HPC or GPU compute Data engineering at scale Solid experience with Linux and cloud environments Hands-on work with Kubernetes or distributed systems Experience with ...

language models including prompt engineering, fine-tuning and evaluation Practical experience with core Generative AI frameworks and agent-based AI frameworks Strong experience with MLOps and LLMOps tooling including model lifecycle management Proven deployment experience on major cloud platforms including AI and ML services Solid foundation in software engineering principles ...

engineers, ML engineers, architects, and business teams to shape ML initiatives. Present insights clearly through strong data visualisation and storytelling. Uphold software engineering and MLOps best practices (testing, versioning, quality, automation). Contribute to governance, responsible model usage, and data quality standards. Mentor juniors and support code reviews. Required Experience ...

engineers, ML engineers, architects, and business teams to shape ML initiatives. Present insights clearly through strong data visualisation and storytelling. Uphold software engineering and MLOps best practices (testing, versioning, quality, automation). Contribute to governance, responsible model usage, and data quality standards. Mentor juniors and support code reviews. Required Experience ...

CUDA and optimising highly parallelised GPU-based computations are a plus Familiarity with the end-to-end supervised training of neural networks and accompanying MLOps ecosystem are a plus Familiarity with Django and related frameworks/tools Familiarity with other programming languages and frameworks At a personal level ...

high-impact use cases in partnership with Wealth, Enablement and Technology teams. Building, mentoring and developing a high-performing Data Science team. Embedding modern MLOps practices including CI/CD, model monitoring, feature stores and version control. Working closely with Data Engineering, Architecture and Operations teams to ensure scalable, secure … PyTorch, TensorFlow). Demonstrable experience delivering end-to-end ML and GenAI solutions (including RAG, LLMs, embeddings and vector databases). Strong knowledge of MLOps tooling and practices (MLflow, CI/CD, containerisation, monitoring). Experience leading, mentoring and developing technical teams. If you'd like to learn more, please ...

Role/Job Title: AI & ML Senior Engineer Work Location: London The JJ Mack Building, 33 Charterhouse St, EC1M 6HA Mode of Working: Hybrid If Hybrid, how many days are required in office?: Minimum 2 ...

coaches, analysts, and execs Highly Desirable Skills Football Analytics Experience : Familiarity with football-specific datasets (event, tracking, positiona l), and libraries like mplsoccer Advanced MLOps & Modelling : Experience with the Vertex AI ecosystem, especially pipelines, and advanced techniques such as player valuation , tactical modelling , etc. Bayesian Modelling : Knowledge of probabilistic programming ...

prepare high-quality corpora for retrieval grounding. Familiarity with LLM evaluation frameworks, prompt-quality metrics, red-teaming, and hallucination/safety monitoring. Knowledge of MLOps patterns, experiment tracking, feature stores, and observability (logging, tracing, metrics) for LLM apps. ...

quota selling UK apprenticeship standards (Digital, Data, Tech or Leadership). Data & AI Literacy: able to hold credible conversations on data analytics, data engineering, MLOps and emerging AI tooling. Consultative/MEDDIC Methodology: expert in discovery, ROI modelling, proposal crafting and multi‐stakeholder negotiation. Network: existing relationships with enterprise ...

building distributed systems. Familiarity with data governance, lineage, and observability tools (e.g., Datadog, Prometheus, Open Telemetry). Strong understanding of Machine Learning Operations (MLOps) and how data platforms support the full ML lifecycle. At JET, this is on the menu: Our teams forge connections internally and work with some ...

statistics, machine learning, and deep learning. Experience with evaluation frameworks and observability tools. Contributions to open-source AI projects or published research. Familiarity with MLOps, model serving (vLLM, TGI), and infrastructure for AI at scale. Background in fine-tuning, RLHF, or working with open-weight models. ...

MLOps Engineer London Based - Hybrid (Three days per week on site)£90,000 to £110,000 plus bonus This is an exciting opportunity to join a mission driven cleantech scale up as they continue to grow their data and AI function. You will help shape a modern MLOps environment, working … would be joining a small, high impact data group with experienced engineers and the opportunity to take real ownership. The Role In this MLOps Engineer role, you will contribute to the design, deployment and optimisation of production ML systems. Responsibilities include: Supporting data scientists and AI engineers to build, deploy ...

MLOps Engineer | London (3 days on-site) | £80,000–£110,000 + bonus A rapidly scaling cleantech company is looking for a mid-level MLOps Engineer to help productionise a range of ML models. The team operates across the energy market working in a fast, customer-focused environment. You will … monitor production-grade ML systems. Ideal for someone who wants ownership, strong engineering standards and the pace of a scale-up. Requirements 2+ years MLOps experience Strong Python, ML engineering and deployment foundations. Hands-on experience with AWS and SageMaker (essential). MLOps best practice: MLflow, CI/ ...

month initial contract Working with a financial services client who are looking to build a new AI/ML function. Looking for a MLOps Engineer to design, develop and implement AI and ML applications. Will require working cross-functionally to conceptualise, design, test and deploy AI projects. Azure AI/ ...

concepts to technical and non-technical stakeholders. Managing project delivery to ensure outcomes are on time, within budget and to quality standards. Applying MLOps practices to address risk and technical debt. Staying up to date with advancements in AI, agent architectures and emerging best practices. What youll bring Proven experience ...

simulation + tele‐op logs, version them, apply weak‐supervision labelling, curate balanced datasets, and auto‐surface fresh failure cases into retraining. Work with MLOps & Data Platform teams to scale distributed training and optimize models for real‐time edge inference. We’re Looking For: 3+ years building deep‐learning systems ...

translate technology capabilities into new B2B sports data monetization opportunities. Drive best-in-class data quality frameworks, leveraging annotation pipelines, synthetic data generation, and MLOps governance. Recruit, develop, and retain top CV/ML scientists, data engineers, and platform architects. Collaborate with clients, federations, and ecosystem partners on adoption ...