251 to 275 of 409 MLOps Jobs in London

/ML applications in security — threat detection, behavioural analytics, anomaly detection, and predictive risk modelling Knowledge of securing AI systems — including AI pipelines, MLOps practices, data platform security, model registries, and inference endpoints Experience with AI-specific threats and controls: adversarial robustness, data integrity, model theft, and supply chain security ...

Learning Systems Engineer (Distributed Systems) London (1-2 days per week in office) AI Startup £100,000-£110,000 DOE + Bonus Skills: Python, MLops, Pytorch, Grafana, Elastic Search, TensorRT About the Company Our client is a venture-backed technology company building software to optimise large-scale physical infrastructure. Their ...

synthetic data and teleop 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. What We're Looking For 3+ years building deep‐learning ...

ensure evaluation methods are reliable, identify gaps, and drive new methodology for evaluating our models. Stay up to date with the latest in MLOps practices and tools and bring improvements into the workflow. About you In order to set you up for success as a Staff Machine Learning ...

improving performance, cost efficiency, and security posture. Mentor and guide team members, fostering a culture of technical excellence and continuous learning. Partner with Security, MLOps, and Product Engineering teams to deliver scalable, resilient, and compliant systems. Define agentic patterns to inflect the way we build, deploy, and observe cloud infrastructure. ...

with data engineers, clinicians and business teams to tailor solutions to client needs Deploy AI and machine learning models in production environments using established MLOps and LLMOps practices Use cloud platforms and data solutions to ensure scalability and operational integrity Present data-driven recommendations to senior audiences, demonstrating the impact … learning techniques such as NLP and deep learning, applied to biomedical data Knowledge of cloud technologies (Azure, AWS or GCP) and model deployment using MLOps frameworks Strong programming skills in Python and SQL with experience in frameworks such as PyTorch, TensorFlow and Hugging Face Experience using data platforms ...

managing token, inference, and infrastructure spend so solutions stay cost effective as they scale. Integrate AI solutions with enterprise data systems, APIs, and MLOps/LLMOps tooling, applying sound system design and distributed‐systems judgment. Apply responsible‐AI judgment proportionate to the risk of each use case, working with risk … example pgvector, Pinecone, Weaviate, or Chroma) and agent or orchestration frameworks (for example LangChain, LlamaIndex, or the Model Context Protocol). Experience with MLOps/LLMOps tooling such as experiment tracking, model versioning, monitoring, evaluation/observability platforms, or CI/CD for ML and LLM systems. Experience implementing responsible ...

Job title: ML Systems Engineer - Model Training and Infrastructure (SWE-focused LLMs) Location: London; full in-office working as default Start date: ASAP Compensation: £80,000 - £110,000 Base Salary & £80,000 - £110,000 Share ...

MLOps Technical Manager Who is Parser? Technology alone does not create impact-the right teams do. Founded in 2018, Parser is a boutique technology services and consulting firm helping global organisations solve complex business challenges through digital transformation, product development and Al enablement. We are a fast-growing team … tier specialists in a truly global environment, we'd love to meet you. How will you impact? As a Tech Lead with a strong MLOps engineering background, you will lead the design, architecture, and delivery of ML infrastructure, owning the end-to-end stack from backend to frontend while driving ...

partner with client teams, lead design sessions, and drive reusable patterns and standards that scale across engagements. The role emphasizes production readiness, LLM orchestration, MLOps and cost governance, with direct pathways to advanced enterprise projects and partnerships. #J-18808-Ljbffr ...

data pipelines across batch and streaming components, while shaping the platform with CI/CD, tooling and governance. You will collaborate with Data Science, MLOps, Product and commercial teams to deliver reliable data solutions and mentor others, ensuring clear communication with stakeholders. #J-18808-Ljbffr ...

vision and delivering practical solutions at scale on our payments platform. You will collaborate across teams to research and validate AI use cases, design MLOps components, and drive production-ready AI with governance and security considerations in a fast-paced fintech environment. The hybrid model supports collaboration and growth. #J ...

seeking a Senior Platform Engineer to build and operate an Azure-based data and AI platform. This hands-on role involves Terraform, network design, MLOps pipelines, and DevSecOps patterns for daily engineering use. You will design landing zones, manage security with proper IAM, monitor with Azure Monitor, and enable cost ...

build reusable accelerators that scale beyond engagements. This role focuses on production-ready agentic architectures, LLM orchestration standards, RAG pipelines, and end-to-end MLOps governance across multiple platforms and providers. #J-18808-Ljbffr ...

using tools and frameworks such as LLaMAFactory, Hugging Face Transformers, LangChain, or OpenLLM for model deployment, serving, or pipeline development. Comfortable with using modern MLOps practices for NLP workflows. Demonstrated ability to publish research results in top-tier NLP conferences (e.g., ACL, EMNLP, NAACL, NeurIPS, ICLR) or practical contributions ...

create real commercial leverage Skills and Experience Proven leadership in defining and delivering enterprise AI strategy, including GenAI Strong understanding of AI platforms, MLOps, and modern AI tooling (without needing to be hands‐on) Experience translating AI opportunities into commercially impactful use cases at scale Exceptional communication, influence, and stakeholder ...

efficiency and training stability. Data strategy & feature engineering: design representation, augmentation, and synthesis strategies for complex, constrained biological datasets. Collaborative hand-off: partner with MLOps so prototypes are built for stability and transition cleanly into scaled production. What we're looking for Advanced ML & deep learning: deep theoretical and practical ...

experiments, ideally at scale Experience post-training large language models Strong software engineering practice: advanced git workflows, testing, containerisation, code review, etc Familiarity with MLOps tools and training across multi-GPU clusters An understanding of specification-aware programming (Verus, Dafny, TLA+), proof assistants and verification tools ( LEAN, Isabelle) AI-natives ...

software as a medical device Time-series or signal processing workloads, physiological data, or scientific instrumentation Experiment tracking, model registries or MLOps tooling, aimed at research reproducibility rather than production inference Behaviour-driven testing or specification-by-example as an interface between research and engineering Introducing agent-assisted workflows into ...

financial services, life sciences, or federal/government. Familiarity with modern AI data infrastructure ecosystems: GPU clusters, parallel file systems, object storage, and MLOps pipelines. Track record of scaling SE teams and operating models in high‐growth, rapidly evolving technology environments. Experience establishing SE Center of Excellence practices: demo environments ...

software code development Builds engineering stack required for Data and AIML products, including data engineering, backend engineering, Cloud infra DevOps and MLOps Designs and implements data engineering solutions, leveraging modern big data technologies Contributes to software engineering communities of practice and events that explore new and emerging technologies Embraces … experience developing Production-scale Cloud-native data engineering solutions in commercial environments Familiarity with Cloud Data engineering services (e.g., ETL, Glue, S3, Athena) and MLOps stack Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds and Overall knowledge of the Software Development Life ...

quality and reliability Helping to standardise and reuse AI workflows, making it easier for teams across different domains to build consistently and efficiently Applying MLOps principles to AI systems, including CI/CD, monitoring, model management and feature governance Partnering with Cloud Infrastructure teams to design secure, cost-effective environments … prompting, retrieval augmented generation (RAG) and fine tuning LLMs Familiar with software development practices including version control, CI/CD, containerization, and monitoring for MLOps Experience in taking projects from inception to production. A collaborative mindset with strong communication skills and the ability to work effectively across multidisciplinary teams. Motivated ...

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 ...

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 ...

Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state ...