626 to 650 of 737 Machine Learning Jobs in London

execution across complex migrations, AI enablement, and digital modernisation. Architect and deliver agentic AI systems (LangGraph, LangChain, tool-calling, memory), RAG pipelines, and enterprise ML workloads. Skilled in Azure and AWS AI stacks, Fast API microservices, Kubernetes, and secure vector search patterns. Strong background in FinOps, secure landing zones … contributor to AI leadership content, events and thought leadership, simplifying frontier AI for executive audiences. Core Capabilities Enterprise AI & Architecture Agentic AI, RAG, enterprise ML in regulated FS Azure AI Studio, Azure AI Search, Fabric, Document Intelligence AWS Bedrock & SageMaker pattern experience FastAPI, Kubernetes, Docker, CI/CD (ADO/ ...

research role. We need someone with broad AI fluency across: • Generative AI • Conversational AI • LLaMA and large model ecosystems • Data transformation & data engineering • Production ML systems We work with: • Structured & unstructured retail data • Labeled image datasets • Unlabeled conversational history (feedback integration is on our roadmap) You must be comfortable with … Python, CI/CD, Terraform • Production ML pipelines • Embeddings, transfer learning, teacher-student learning • Large vision models and optimization for scale Red flags: • Generic “we’ll just improve the model” thinking • Only knowing basic PyTorch without broader ecosystem knowledge • No real-world deployment or scalability experience Team Environment ...

responsible for coordinating engineering, data science, architecture, product, and business teams to deliver measurable outcomes across areas such as: Evolution of agentic frameworks Machine‑to‑machine communication capabilities Evaluation tooling and automated rating frameworks Observability, governance, and cost‑tracking dashboards AI‑ready content ingestion and search quality improvements … clear mandate to drive clarity, alignment, and momentum. We’re looking for someone who brings: Proven experience delivering large‑scale platform, AI/ML, or data‑heavy technology programmes. A proactive, risk‑aware mindset with the ability to navigate ambiguity and drive clarity. Strong stakeholder management skills and the ability ...

Geophysicists and Algorithm Developers to manage massive computational workloads running from both in-house and external users. You will bridge the gap between complex ML backends and intuitive user interfaces, creating tools that directly accelerate our R&D and optimise the QC process of our advanced algorithms. Key Responsibilities Architect … Angular . You will play a major role at the development lifecycle of our core dashboard, the central hub of our imaging workflows. Optimize ML Workflows: Develop robust systems to query, parameterize, and track ML workloads. You will build utilities that allow our scientists to compare high-compute jobs, identify ...

Engineer to design, implement, and maintain security solutions that protect complex systems and sensitive data, with a strong focus on GenAI and AI/ML platforms. This role works closely with data scientists, engineers, and security teams to ensure innovation is delivered securely and at scale. This position is well … suited to security professionals who want to transition into a GenAI-focused career path and develop deep expertise in securing AI/ML systems. Key Responsibilities Threat Analysis and Vulnerability Assessment Conduct regular threat modelling and vulnerability assessments across AI/ML systems, including data pipelines, model APIs, and GenAI ...

advanced AI systems that deliver real business impact. Responsibilities as a Principal AI Engineer: Lead end‐to‐end delivery of scalable, resilient AI/ML pipelines aligned to business goals. Build and deploy advanced ML, DL, and LLM solutions, including RAG, agentic architectures, and evaluation frameworks. Mentor engineers in ML ...

move fast — without building tech debt mountains Must-Haves 3–5 years in a technical leadership role Proven track record delivering AI/ML products from inception to production Deep hands-on expertise in at least one core ML domain (strong preference for computer vision and/or generative … Experience with LLMs, conversational AI and evaluation of generative systems Strong MLOps and engineering mindset Hands-on with AWS, Python, SQL and modern ML tooling Strong data engineering and annotation strategy experience Experience leading teams and working with senior stakeholders Comfortable in fast-moving, evolving environments Simplicity mindset: start simple ...

Drive productivity and cost optimizations. Your Profile: Essential skills/experience/knowledge: Experience in architecting and solutioning in Gen AI, Agentic AI, classic ML, and automation space. Good understanding of Prompt engineering, RAG pipelines, Supervised/unsupervised Model tuning, MLOps/LLMOps pipelines, and AI observability. Experience in Enterprise … CrewAI, LangGraph). Strong working knowledge and practical deployment experience on at least one major cloud platform (AWS, Azure, GCP), including their AI/ML services. Strong foundation in software engineering principles for building scalable, maintainable, and production-ready AI systems. Proficiency in Python with AI/ML frameworks (PyTorch ...

experience across all Identity and Access Management core disciples including identity management, identity governance and administration, privileged access, and conditional access and in particular, machine identities. It also requires deep technical skills in the DevSecOps. This role will support the transformation of IAM into a modern, automated, predictable … SDLC from the ground up, ensuring AI models and systems are secure by default. Define and enforce secure coding practices for AI/ML components and APIs. Identify and assess threats specific to AI systems, such as model inversion, data poisoning, adversarial attacks, and model theft. Implement model encryption ...

echo control Ability to operate effectively in a fast-paced startup environment Strong communication skills and ability to collaborate across hardware, embedded and ML or cloud engineers Willingness to work onsite in Central London 4 days per week Experience in the following would be beneficial: Audio codecs and streaming pipelines … Experience using oscilloscopes or logic analysers Audio measurement techniques and designing repeatable evaluation methodologies Always-on or low-power audio detection systems Familiarity with ML frameworks such as PyTorch or TensorFlow Experience with GStreamer, WebRTC audio processing, SpeexDSP, RNNoise or similar Responsibilities for Audio Systems Engineer: Design, implement and tune ...

reference architectures, and go-to-market offerings What We’re Looking For: Essential Experience & Skills: Proven experience architecting solutions across Generative AI, Agentic AI, ML, and automation Strong understanding of: Prompt engineering RAG pipelines Model fine-tuning (supervised/unsupervised) MLOps/LLMOps and AI observability Hands-on experience building … FAISS, etc.) Practical experience with GenAI frameworks such as LangChain, LlamaIndex, and agentic frameworks like AutoGen, CrewAI, LangGraph Strong Python expertise with AI/ML frameworks (PyTorch, TensorFlow) and NLP libraries Experience deploying AI solutions on at least one major cloud platform (AWS, Azure, or GCP) Solid software engineering foundations ...

practices Work in a fast-paced, collaborative technical environment Utilise programming languages and tools like React Native, React, Node.js, JavaScript, TypeScript, micro services, AI, ML, open source frameworks, DevOps, large data sets, and more Perform software development leveraging a test-driven development pattern Collaborate with digital product managers, and deliver … support technical solutions in full-stack development tools and technologies Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community What we’re looking for Experience with influencing technical decisions ...

practices Work in a fast-paced, collaborative technical environment Utilise programming languages and tools like React Native, React, Node.js, JavaScript, TypeScript, micro services, AI, ML, open source frameworks, DevOps, large data sets, and more Perform software development leveraging a test-driven development pattern Collaborate with digital product managers, and deliver … support technical solutions in full-stack development tools and technologies Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community What we’re looking for Experience with influencing technical decisions ...

plus) Experience building with cloud platforms such as AWS, Azure, or GCP Experience working with AI tools or platforms (LLMs, predictive models, ML infrastructure) Strong understanding of distributed systems patterns and trade‐offs Knowledge of non‐functional requirements—scalability, reliability, performance, observability Background in Scala Bonus points for: Interest … plus the ability to work from almost anywhere for up to 90 days per year £500 remote working budget to upgrade your home office Learning & Development $1,000 annual L&D budget for personal and professional growth Vacation & Leave 25 days of annual leave + bank holidays An extra ...

based on user feedback Strong problem-solving skills and ability to work independently with minimal supervision Nice-to-have Bonus: Experience with AI/ML systems, LLMs, or working in regulated industries (fintech, compliance, etc.) Bonus: Experience with high-scalable AWS architecture Our tech stack NodeJS/Typescript NextJS Python … actively, embrace feedback and foster a collaborative environment where ideas are shared openly. You are confident in your expertise while recognising the value of learning from others and adapting to change. Budget: Base salary £60k-£90k Equity: 0.5-1.0% Negotiable, depending on preferences The interview process ⏳ We are seeking ...

telecom ecosystems (BSS/OSS/Network/CX/Operations). Solid hands-on experience or strong working knowledge of: AI/ML pipelines, MLOps/LLMOps Generative AI (LLMs, RAG, embeddings, prompt engineering) Agentic AI frameworks and multi-agent orchestration Data platforms, big data tools, streaming analytics APIs … AI. Experience in leading workshops, hackathons, or innovation labs. Ability to mentor teams and drive organizational data literacy. Preferred Qualifications Certifications in AI/ML, GenAI, Cloud, or Data Engineering. Experience working with major telecom operators or technology vendors. Knowledge of TM Forum frameworks (Open APIs, eTOM, ODA). ...

solutions used across digital products, marketing, CRM, and operations. This is a hands‐on, senior technical role where you’ll work across the ML lifecycle - from early experimentation through to deployment, monitoring, and ongoing optimisation. You’ll collaborate with senior stakeholders and influence how AI is applied across the organisation. … Responsibilities Lead the design and development of production‐grade AI systems and services. Build and deploy classical ML models and LLM‐powered solutions. Develop APIs, integrations, and pipelines to embed AI into apps, CRM journeys, and internal tools. Own the full model lifecycle: deployment, monitoring, evaluation, retraining. Partner with Product ...

About Optibus: Optibus is a unified software platform revolutionizing public transportation planning, scheduling, and operations in over 7,000 cities worldwide. Using AI, ML, and optimization algorithms, it empowers agencies to design more efficient, equitable, and sustainable transit networks, enhancing passenger access, reducing emissions, and improving driver conditions. With offices … make it the preferred choice for cities and passengers alike. About the position: We are seeking a highly skilled and motivated Training and E-Learning Content Creator to join our effort in auditing, revamping, and creating engaging digital e-learning content for our educational platforms. As a member ...

engineers to deploy features end-to-end What they’re looking for New Grad/Early Career, ideally MSc or PhD in CS/ML/NLP (or related) Strong applied ML research background, ideally with publications in top venues such as: NeurIPS, ICML, ICLR, ACL, EMNLP, AAAI (added bonus ...

Board level Establish best-in-class governance, validation and model risk frameworks Experience: Proven experience leading and scaling Data Science teams Strong background in ML/AI, ideally including Generative AI applications Deep expertise in Python and modern ML frameworks Experience delivering models that directly impact underwriting, pricing, and profitability ...

Consumer Marketplace/App Department: Product & Insights A leading global marketplace is hiring a Senior Product Analyst to partner with product, engineering, design, and ML teams to shape the future of a mobile-first product used worldwide. What You'll Do Act as the lead data scientist for a core … interpret experiments across the product ecosystem Influence product strategy by connecting insights to business goals Improve datasets, dashboards, and analytical tooling Work closely with ML teams on discovery, ranking, and personalisation initiatives What We're Looking For Expert-level SQL + solid Python for product analytics Hands-on A/ ...

month contract - Inside IR35 - PAYE 5 days on-site, Central London Opportunity to lead enterprise-scale AI/ML solutions What you'll be doing Providing technical leadership across engineering teams Owning architecture and delivery of cloud-native systems on AWS Leading the implementation of AI/ML solutions, including …/or Python experience Experience leading engineers and owning delivery Strong hands-on AWS experience ( compute, networking, security, observability ) Experience delivering AI/ML systems, particularly LLM and RAG-based solutions Strong DevOps and SDLC knowledge (CI/CD, IaC, testing, SRE practices) Interested? Apply for immediate consideration. Happy ...

About Us At Neuraco, we're building the world's first robot learning cloud service ( https://www.neuracore.com/). Our platform eliminates the complexity of traditional robotics development by providing a complete end-to-end solution for data collection, model training, and deployment that works across different … tasks • Strong understanding of networking, security, and Linux systems administration • Excellent communication skills and a collaborative, team-first mindset • (Nice to Have) Experience supporting ML/AI infrastructure or GPU-based workloads • (Nice to Have) Familiarity with robotics or edge computing deployment pipelines ...

Essential skills: 15+ years overall in software/solution architecture with 7 + years in cloud (Azure) and 5 + years in AI/ML or Azure AI solutioning. Proven experience leading production-grade solutions using Azure OpenAI , Azure AI Foundry , Azure AI Document Intelligence, Azure Data Factory, Azure ML ...

optimisation, and observability Architect and implement multi-cloud, data lake, and data warehouse platforms Design scalable data pipelines, integration workflows, and analytics solutions Apply ML/AI frameworks, semantic models, and BI/visualisation tools to solve client challenges Operate as a strategic and technical leader across client engagements, guiding … Azure, GCP) and data technologies such as Snowflake, Databricks, or equivalent Experience with programming/scripting, data integration, ETL pipelines, and orchestration Knowledge of ML/AI frameworks, BI/analytics platforms, and semantic data modelling Strong client-facing skills with the ability to translate business needs into technical solutions ...