951 to 975 of 2,927 Machine Learning Jobs in London

automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes. Our team ...

ability to contribute production code, lead technical design and challenge architecture constructively.* Hands-on experience designing, building and shipping software and AI or machine-learning solutions for real business problems.* Practical knowledge of prompt engineering, retrieval architectures, agent development and evaluation methods for generative AI systems.* Strong software ...

professional experience. Desirable Experience with technologies such as Azure, Databricks, Power BI, or similar enterprise platforms. Exposure to data analytics, business intelligence, AI/ML, cybersecurity, or cloud transformation programmes. Knowledge of microservices, domain-driven design, or cloud-native solutions. Python or other scripting/programming experience. Experience within energy ...

apart Master’s degree or MBA in Product Management, Business Administration, or a technical field. Hands-on experience developing or applying AI/ML models, predictive analytics, or generative AI within decision orchestration tools. Proven experience building, leveraging, or automating workflows using AI tools (such as Google Gemini or Workspace ...

DPDK Experience with CNI implementations and Kubernetes networking Understanding of advanced routing protocols such as BGP, OSPF, VXLAN, EVPN Familiarity with integrating AI/ML capabilities into software systems and using generative AI tools to accelerate development cycles #J-18808-Ljbffr ...

over WebSockets Implement SSO, OTP and session/JWT auth, and integrate with Microsoft 365, CRMs and document stores Work with the AI/ML team to ship LLM-powered features, including UX that investment professionals can trust and audit (citations, provenance, approve flows) Ship and operate on AWS with ...

GitHub Copilot to accelerate developmentRequirementsBachelor’s or Master’s degree in Computer Science, Engineering, or related field with 4+ years of hands-on ML/AI engineering experience (or PhD with relevant experience).Strong Python development skills with proven backend engineering experienceHands-on experience building agentic or LLM-powered applications ...

time AI interactions, knowledge retrieval, and automation. Optimize AI-powered UIs to ensure seamless and intuitive user experiences. Work closely with AI researchers and ML engineers to integrate LLMs, Retrieval-Augmented Generation (RAG), and automation into production-ready applications. Ship robust, minimal-dependency code that performs efficiently in enterprise environments. ...

market data, asset and wealth management domains to drive business value Design scalable and secure solutions leveraging AWS services and emerging technologies (AI/ML) Collaborate with sales teams to develop and execute customer engagement strategies Create technical content and reference architectures for capital markets use cases Influence AWS product ...

product leadership for data-heavy platforms or analytics products, with a solid understanding of data governance and pipeline design. Strong understanding of AI/ML feature productization, including how AI capabilities are evaluated, explained, and integrated, along with familiarity with AI connectors. Proven ability to manage roadmap tradeoffs and deliver ...

cloud environments (AWS, Azure, or GCP). Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming. Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar. ...

requirements for high-value opportunities, deploying specialized experts (MLOps, GenMedia, or Agentic systems) to key accounts. Lead technical hiring for FDE, evaluating AI/ML expertise, systems engineering, and coding skills to build an exceptional engineering team. Identify skill gaps in emerging tech model context protocol (MCP), tool-calling ...

frameworks: MITRE ATT&CK, MITRE Engage, MITRE D3FEND, and the cyber kill chain Experience leveraging Agentic AI, Microsoft Security Copilot, or AI/ML in security operations (detection, hunting, IR, automation). Proven experience designing and operating enterprise cyber deception programmes (honeypots, honeytokens, decoy users, decoy devices, breadcrumbs) at scale. ...

Copilot for Security. Microsoft Graph, Python, Logic Apps, Azure Functions, policy-as-code, infrastructure-as-code or advanced workflow automation. Experience using AI/ML or Agentic AI within security or identity operations. Application registration, managed identity, service principal, workload identity, and secrets or certificate lifecycle governance. Active Directory security ...

representing security requirements to non‐security stakeholders. Working knowledge of cloud environments (Microsoft Azure and/or Amazon AWS) and the AI and ML services offered within those platforms, with the ability to assess security configurations, data handling behaviours, and integration risks. Experience partnering with development teams, data teams ...

Cloud hosting providers such as AWS, Azure, GCP, Vercel & Netlify Cross‐platform AI experience across AWS, Microsoft Azure, Google (e.g. Bedrock, AgentCore, Vertex, Azure ML etc.) Advanced Python programming AI frameworks such as AutoGen, Langflow, Tensorflow Knowledge of Infrastructure as Code, CI/CD Use of Middleware and RESTful ...

processes and structured vulnerability remediation reporting. Experience with trust portal platforms (ServiceNow, Whistic, Vanta Trust, Drata Trust). Familiarity with AI/ML security and emerging frameworks (NIST AI RMF, ISO 42001). Previous leadership or line management experience. Integrity and discretion when handling sensitive customer and government information. Resilience ...

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‐AI or AI‐governance controls such as guardrails, human‐in‐the‐loop oversight, and audit trails in production. Experience ...

OctaiPipe, a dynamic UK-based AI hardware company, is seeking an Applied Scientist, Machine Learning to join the ACE team … work on reinforcement learning for data centre control. You will design, train, and deploy RL agents across live environments, translating telemetry into ML problems and collaborating with software engineers to productionise models on the OctaiPipe platform. Candidates should have strong RL background, Python and ML tooling, and the ability ...

delivery processes from the ground up Building and leveraging AI technology to enhance product features and development workflows We build with technology like: Python & ML/LLM ecosystem — service based solutions Event-driven — real-time data driven solutions Cloud deployments — Azure, Kubernetes, ArgoCD High-performance data & messaging — Graph, Vector, Postgres … Dental Insurance Group Income Protection Group Life Assurance 24-hour mental health support Equity Scheme (coming soon!) Requirements Strong experience delivering production AI/ML systems, supported by excellent software engineering fundamentals.Strong programming skills in Python and experience with typed application languages such as TypeScript.Practical experience with modern ML ...

ExTrac is seeking an ML Engineer to join its Machine Learning team in London. You will work with software engineering and product design to understand requirements, contribute to agentic systems, and help train and evaluate domain-specific models for analysts operating at the frontier of intelligence. You will ...

millions of customer accounts and billions of transactions annually. Leveraging proven data science, including our proprietary consortium data, our customers use our risk-based, machine learning platform to deliver the highest fraud detection rates, lowest false positive rates, and lowest customer intervention in the industry. We stop fraud … when necessary. Technical Proficiency : Possesses a solid understanding of their role and responsibilities, demonstrating competence in performing tasks and utilizing relevant technical skills. Continuous Learning: Takes personal responsibility for learning and development. Recognizes personal strengths and areas for improvement, actively seeks feedback, and embraces opportunities to learn. Effective ...

revolutionary idea. Rather than move the data from the source, move the algorithms to the data to learn at the data source. This learning can be achieved with the intelligence of many devices through novel federated AI technology. OctaiPipe is developing the AI for Cooling Efficiency (ACE) application … Technical Sales. Experience selling software or technology into data centres, particularly DCIM, BMS, power monitoring, cooling optimisation or adjacent infrastructure technologies. Knowledge of AI, machine learning, edge AI or reinforcement learning solutions. Experience working with channel or technology partners to develop and progress joint opportunities. Why JoinOctaiPipe ...

trade financial instruments. You’ll work side by side with experienced researchers who are committed to teaching, guiding, and supporting our newest hires, learning how we think about experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets. At Jane Street, our researchers, engineers … believe in “one-size-fits-all” modelling solutions; we are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning, depending on what best fits a given problem. The most successful researchers will be driven by a curiosity ...

Refractal is seeking an experienced ML engineer to own the machine-learning models behind our real-time AI threat detections in production. You will train, tune and ship classifiers for prompt injection, data exfiltration and policy violations, analyse telemetry for drift and latency, and translate regulatory requirements into ...