1,551 to 1,575 of 3,380 Machine Learning Jobs in the UK

plus. Having OSWE OSCP, GWEB, GPEN or similar certificate is a plus Experience in Mobile Application Penetration Testing is a plus Familiarity with AI&ML & LLM concepts, AI Red Teaming, AI Guardrails is a plus. #LI-Hybrid About Us Fortinet makes possible a digital world that we can always trust ...

time and event-driven data platform experience Lakehouse or cloud-native data platform architecture experience Data lakes, object storage, and large-scale analytical processing ML or advanced analytics exposure AWS security, networking and access control GDPR and data governance awareness Day to Day: Leading and developing your data engineering squad ...

networking). Strong understanding of embedded CPE software (e.g. RDK‐B, OpenWRT, OpenEmbedded, HALs/SDKs). Working knowledge of AI/ML for connectivity platforms (e.g. edge inference, LLM/agentic systems, MLOps and responsible AI). Skills & Abilities Communicate clear, concise and technically robust recommendations to both technical ...

stakeholders, helping them navigate design choices and achieve measurable business outcomes. Build strategic roadmaps for Data & AI capabilities, supporting predictive analytics, BI, AI/ML and GenAI. Lead workshops to capture requirements, validate design decisions and align business/technology stakeholders. Manage teams across consulting disciplines , fostering an inclusive ...

qualifications, capabilities, and skills: Experience in roadmap creation and execution, aligning and leading business operations to strategic organizational goals Strong understanding of AI/ML technologies and their application in data management/governance Understanding of control and risk management concepts Strong product management and project management skills J.P. Morgan ...

know that great people have different backgrounds and skillsets. If your primary interest is building agentic systems, working with LLMs, or doing applied ML, check out our AI Engineering role–it might be a better fit. Learn More About Edra Watch our Series A announcement video Read our blog post ...

managing project life-cycles, establishing scope boundaries, tracking engineering milestones, and delivering complex client reports on time. Direct experience building or securing AI/ML pipelines, utilizing AI security frameworks (e.g., OWASP Top 10 for LLMs, NIST AI RMF), or configuring secure cloud AI environments. Strong experience securing multi-cloud ...

DynamoDB Swift or SwiftUI You are not expected to have worked with everything listed. What this role is not This is not an ML engineering or data science role. You will be integrating existing AI services into business workflows rather than training models. It is also not a ticket-only ...

automation and agentic workflows for production operations. Lead and contribute to the cross-SRE AI Ops program, driving the strategic adoption of AI/ML tools to improve incident response, reduce toil, and enhance service reliability across Ads SRE. Focus on optimizing existing systems, build infrastructure, and eliminate work through ...

Palantir, Accenture, or comparable) Strong Python proficiency and comfort working with complex codebases you didn’t write Hands‐on experience working with AI/ML model APIs (OpenAI, Anthropic, Google, Meta, etc.) Excellent debugging skills; you can trace issues across APIs, data pipelines, and code Strong written and verbal English ...

initiatives.Conduct data governance maturity assessments and recommend continuous improvement opportunities.Manage data risk, security, retention, and compliance requirements.Support enterprise data transformation, analytics, AI/ML, and cloud migration initiatives.Posting Date ...

showback/chargeback and accountability across operating companies.* Provide architectural guidance to balance cost, performance, scalability and resilience.* Define infrastructure architecture for AI/ML workloads, advanced analytics and high-performance computing.* Ensure platforms are AI-ready with scalable compute, data integration, secure access and responsible AI controls.* Evaluate emerging ...

activations, secure data pipelines, and custom API connections. Deep expertise across Google’s advertising platforms (Google Ads, GMP) and Google Cloud (BigQuery, AI/ML, Data Analytics). Ability to translate complex technical solutions into persuasive storytelling for executive audiences. Ability to bridge pre‐sales agreement shaping, architectural foresight ...

improvement of system reliability Qualifications Go Expertise: Strong proficiency in Go (this is absolutely required) - Docker’s primary language for backend systems AI/ML Knowledge: Practical experience with large language models (LLMs) and agent development System Architecture: Proven ability to design scalable, distributed systems Container Technology: Deep understanding ...

focused on building KYC/FinCrime as a configuration-driven product, refactoring and building new scalable microservice systems, and increasing automation using ML/AI where it genuinely improves decisioning, review quality, and operational efficiency — with safe fallbacks and clear observability. As a team that touches both regulatory requirements ...

solutions as well as deliver them, from reference architectures and integration patterns through to production rollout and adoption. Proven delivery of AI/ML and GenAI solutions in production, including document intelligence, NLP, search/summary, recommendation, decision support and workflow automation. Strong grasp of responsible AI, security and compliance ...

user experience innovation. Builds high‐performing teams, leverages staff for efficiency. Experience developing and coaching associates to meet business goals. Experience with AI/ML/Gen AI/LLM is preferred. Bachelor’s degree or equivalent experience. Compensation and Benefits You’ll receive a competitive salary, bonuses and benefits. ...

client acquisition in an agency/consultancy context Comprehensive understanding of software engineering, system architecture, and project management Working knowledge of AI/ML platforms and agentic development practices, with an ability to evaluate and guide their adoption in a client delivery context Familiarity with Google Cloud Platform ...

gateways, proxies, or multi‐tenant platforms Experience building for enterprise customers, including admin controls, governance, and compliance requirements Experience working on AI/ML products or agentic systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target ...

advantage. And it's fun. Who we're looking for PostHog is working on a self-driving product and is training its own Deep ML models. To do this, we have a new AI Research team. We track more products across more dimensions than any other company on Earth. Because ...

manage account revenue and bookingsCan structure standard and bespoke dealsCan develop G2M packs for C-Suite but can also baseline with solution architectureIDP, NLP, ML, GenAI, Workflow & RPA experienceComfortable with On Prem and Cloud ArchitectureCan identify a client’s automation maturityDSIT AI Ethics legislation awarenessAwareness of Automation in SustainabilityExperience with ...

cloud security posture management.Containers and Kubernetes depth beyond managed-service operation.Data platform and analytics services across the hyperscalers (data lakes, warehousing, streaming).AI/ML cloud services, given the growing overlap between cloud migration and AI platform enablement.Leadership & Delivery ExpectationsLeads technical delivery independently and acts as the final technical authority ...

discussions and solution design sessions. Ability to influence architectural decisions and drive alignment across multiple stakeholder groups. Emerging Technologies Understanding of AWS AI/ML and Generative AI services, including Amazon Bedrock and SageMaker. Knowledge of modern data platforms, analytics solutions and cloud-native architectures. Interest in emerging technologies ...

supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving. This is a hands‐on, technical leadership role with high ownership. … will develop and deploy advanced speech systems that power our products as well as co‐define the technical vision for ML, drive innovation, and mentor engineering teams. Your work will span the entire codebase. What You’ll Do: Develop and deploy ML models, translating research into scalable, maintainable code ...

more of: OT/ICS security architecture (IEC 62443), identity-centric/zero trust architecture, cloud-native security design, or AI and ML security. Familiarity with enterprise architecture tools and repositories (e.g. ADOIT, Sparx EA, Ardoq, LeanIX) and their use in managing the security architecture landscape. Understanding of secure software ...