1,426 to 1,450 of 3,261 Machine Learning Jobs in the UK

APIs. Leverage data‐driven insights to make informed decisions and drive continuous product improvement. Build a deep understanding of advanced analytics and AI/ML capabilities that can be incorporated into product solutions to enhance and accelerate user value. Required qualifications, capabilities, and skills Experience or equivalent expertise in technical ...

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 Equal Employment ...

configuring and managing HPC clusters, Video Streaming and AI GPU systems. Demonstrable track record in auto-scaling cloud services, ideally within AI/ML, Science, Manufacturing or IoT contexts. Advanced Research Centre, University of Glasgow, 11 Chapel Lane, G11 6EW Department Dev Platform Job Title Senior Platforms Infrastructure Engineer #J ...

test engineer Previous experience driving software releases or test operations for enterprise software used by software engineers Passionate about software documentation Autonomy, AI, ML expertise PMP, Scrum Master, or similar qualification Our international teammates receive a comprehensive total rewards package aligned to your country office location. For full details ...

Canonical MaaS, or OpenStack Ironic. High‐Speed Networking: Knowledge of RDMA, InfiniBand, GPUDirect, and how to expose these technologies to containerized workloads. AI/ML Familiarity: Understanding of how distributed training works (e.g., PyTorch Distributed, Megatron‐LM, DeepSpeed) and the infrastructure requirements of Large Language Models (LLMs). Observability: Experience ...

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 ...

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 ...

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 ...

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 ...