76 to 100 of 198 MLOps Jobs in London

Experience with agent frameworks, tool-use planning and workflow orchestration Systems-level fluency across data pipelines, training infrastructure and inference (PyTorch, JAX, TensorFlow) Strong MLOps discipline: CI/CD for models, offline/online evaluation, safety and guardrails The ability to influence at exec level and mentor senior technical talent ...

Responsibilities: Research state-of-the-art machine learning algorithms to solve network orchestration problems. Develop machine learning training infrastructure using kubernetes clusters, and managing MLOps tooling. Develop and maintain documentation related to novel algorithms developed by the team. Integrate AI technology with other components of the Spacetime platform to ensure ...

AI. Build POVs and architecture options that balance business value, feasibility, and cost. Act as a trusted advisor for our clients across data platforms, MLOps, Generative and Agentic AI, and application design. Thought Leadership, GTM & Vertical Expertise Represent Datatonic on site at client, at events, conferences, partner sessions, and executive ...

. Familiarity with cloud‐native data architectures and technologies. Desirable Experience with data management tools and processes. Experience with AI and Machine Learning, including MLOps practices. Experience with decentralised Data Mesh and Data Product architecture principles. For all roles in all locations, we offer a competitive, industry‐benchmarked salary. ...

. Familiarity with cloud-native data architectures and technologies.* Experience with data management tools and processes.* Experience with AI and Machine Learning, including MLOps practices.* Experience with decentralised Data Mesh and Data Product architecture principles.* Maintain a high-level roadmap for the development of the research data ecosystem, outlining ...

MLOps Platform Manager, Palantir Fully Remote | 6 Month Contract | Outside IR35 | £550 to £650 per day Overview A leading organisation is looking for an MLOps Platform Manager to take ownership of its Palantir and production ML platform environment, covering Foundry, AIP and wider MLOps services . The role will focus … products into production in a structured and repeatable way. The Role This is a delivery-focused platform ownership role, sitting across: Palantir platform operations MLOps enablement Service management Security, governance and compliance Supplier and vendor management You will be responsible for the day-to-day running and improvement of Palantir ...

A leading technology firm in the UK is seeking a Machine Learning Engineer for a hybrid role focused on cutting-edge ML research and development. The ideal candidate will have a Master's or PhD ...

Baringa Partners LLP is looking for experienced Machine Learning Engineers to join their Solutions and AI Lab Team. The role involves defining and implementing machine learning projects, establishing ML Ops frameworks, and advising clients on ...

systems into complex banking and capital markets environments Establish and govern evaluation frameworks for AI and agent-based systems Oversee CI/CD, MLOps, and LLMOps practices across delivery teams Work closely with security, risk, and compliance teams to ensure ethical and regulated AI delivery Own and contribute to architecture … similar) Strong understanding of evaluation frameworks for AI/agent systems Experience implementing CI/CD pipelines and modern engineering practices Exposure to MLOps/LLMOps principles Experience working with at least one cloud hyperscaler (AWS, Azure, GCP, or Databricks) Strong Agile delivery experience (Agile, SAFe, XP, Jira, Confluence, etc. ...

focus include: Real-time sports insights & personalisation Computer vision & multimodal AI Live event detection & metadata generation Low-latency ML inference systems End-to-end MLOps & production ML Scalable cloud-native AI platforms What they’re looking for: Strong experience leading ML engineering initiatives in sports, media, streaming, or real-time ...

including challenging delivery plans and priorities when required. Strong understanding of data ethics, privacy, bias, explainability and governance. Desirable skills and experience Experience with MLOps, AI platforms, NLP/LLMs, knowledge graphs or real-time data products. Experience setting data science strategy or leading cross-functional technical communities. Experience ...

secure‐by‐design Data & AI solutions across cloud environments (Azure‐led, with AWS/GCP awareness). Oversee AI/ML lifecycle delivery, including MLOps and operationalisation. Own programme financial performance including forecasting, margin management and cost control. Support bids and shape delivery approaches for strategic Data & AI opportunities. Requirements ...

looking for: Some experience (academic or project-based) with Python and an understanding of machine‐learning workflows and model evaluation. Interest in MLOps, model governance and responsible AI practices. A highly collaborative working style with a growth mindset. Strong critical thinking and problem‐solving skills. A minimum ...

platforms, AI‐enabled applications or machine learning solutions into production environments Deep understanding of modern AI architecture patterns and real‐world operational delivery, including MLOps/Evals Strong Python engineering capability and experience working across cloud‐native engineering environments Experience integrating AI capabilities into wider enterprise, cloud and data ecosystems ...

enterprise-scale operating models and shared services environments is beneficial. Required Skills AI & Agent Platforms: Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry Data & MLOps: Databricks, Azure SQL, ADLS, Azure AI Search Cloud & Integration: Microsoft Azure, API Management, Containers Identity & Security: Azure Entra ID, Key Vault, RBAC Observability & Governance: Logging ...

your knowledge in this area A solid understanding of software engineering principles, including data pipelines, CI/CD, containerisation and observability, with exposure to MLOps practices and tooling Comfortable providing technical guidance, mentoring and support to a small number of less‐experienced engineers Enjoy collaborating across teams and contributing ...

partnering with Product and Finance to align expected and realized impact Define measurement approaches for AI and algorithmic features in collaboration with Data Science, MLOps and Engineering Shape product and commercial strategy through opportunity identification, impact sizing and evidence-based recommendations Lead high-impact and complex analysis, ensuring outputs ...

organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building … Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data ...

virtual assistants through advanced prompt engineering and agent orchestration 🔹 Integrate AI applications with SQL, NoSQL, Vector Databases, Knowledge Graphs, and third-party systems 🔹 Implement MLOps best practices and contribute to CI/CD pipelines using Docker, Kubernetes, and Cloud Platforms 🔹 Collaborate with Data Scientists, Architects, Product Managers, and Engineering teams … expertise in: Prompt Engineering Conversational AI NLP Applications AI Agent Development ✔ Experience building scalable APIs using FastAPI ✔ Strong understanding of: HTTP & gRPC Docker & Kubernetes MLOps & AI Deployment Cloud AI Services (AWS, Azure, or GCP) ✔ Experience deploying production-grade AI solutions on enterprise platforms ⭐ Nice to Have ✔ Experience with Vector Databases ...

input validation, secure handling of sensitive data (PII/confidential property information), and protection against prompt injection and other AI-specific vulnerabilities. Collaborate with MLOps and platform engineers to ensure models are deployed, monitored, and iterated in production environments. Maintain clear documentation for AI systems, APIs, and workflows. Stay … frameworks like BentoML or equivalent. Familiarity with vector databases and retrieval pipelines for RAG architectures. Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps tooling (MLflow, Kubeflow, or similar). Familiarity with voice‐to‐text, IVR, and/or computer vision systems is a plus. Strong understanding of software engineering ...

Code CI/CD, automation, and platform reliability Running production workloads with high availability requirements Plus, experience with one or more of the following: MLOps or ML platform engineering RAG architectures, embeddings, or vector search Model serving, observability or performance optimisation Data/AI workflow orchestration in Databricks or similar ...

powered solutions. This role is ideal for a hands-on engineer with strong expertise in Generative AI, Large Language Models (LLMs), Knowledge Graphs, MLOps, and Full-Stack Development . You will play a key role in designing, building, and scaling enterprise-grade AI applications that drive business innovation and deliver … SPARQL . Develop graph-based AI solutions using techniques such as: Graph Neural Networks (GNNs) Link Prediction Node Embeddings Graph Analytics MLOps & AI Operations Implement MLOps best practices for AI model deployment, monitoring, governance, and continuous integration/continuous deployment (CI/CD). Ensure scalability, reliability, security, and performance ...

particularly within the YOLO family. Familiarity with model optimization techniques such as quantization and pruning, and deployment frameworks like TensorRT and OpenVINO. Experience with MLOps tools and practices, including version control (Git), Docker, and CI/CD with GitHub Actions. Excellent problem-solving skills and the ability to perform ...

such as SuperSet, Tableau or PowerBI is a bonus) Hands-on experience in machine learning model development, evaluation, and production deployment, with familiarity in MLOps principles to build scalable and standardised workflows and implement effective ML monitoring systems Proven ability to create polished presentations and effectively communicate insights to customers ...

quality, review processes, and technical governance. ● Build observability, incident management, and on-call practices that scale with team growth and deployment frequency. ● Embed DevOps, MLOps, security, and compliance practices into day-to-day workflows. ● Balance technical debt with feature delivery needs, making trade-offs transparent to the business. Cross-Functional ...