4,701 to 4,725 of 6,613 Machine Learning Jobs in the UK

. It will cover Threat hunting, analysis, monitoring, Optimising, reporting, alerting and investigation activity utilising a wide variety of security platforms including AI/ML and behavioural analytics, SIEM (Security Information Event Management), Network Packet Capture platform, Anti Malicious Code, Threat Detection technologies and platforms across the UK Network Perimeter ...

. It will cover Threat hunting, analysis, monitoring, Optimising, reporting, alerting and investigation activity utilising a wide variety of security platforms including AI/ML and behavioural analytics, SIEM (Security Information Event Management), Network Packet Capture platform, Anti Malicious Code, Threat Detection technologies and platforms across the UK Network Perimeter ...

both executive and technical audiences. Demonstrated experience in driving technical sales engagements and managing complex deal cycles. Preferred QualificationsDirect experience with AI/ML infrastructure architecture and protocols, network fabric and software runtimeExperience in AI application and Agentic development. Experience with Infrastructure as Code (IaC), service orchestrationExpertise in cybersecurity ...

clustering, and failover. Strong knowledge of web security standards and OWASP Top 10. Optional: Exposure to front-end tech, Python scripting, or AI/ML APIs. 8+ years of professional Java development. Enterprise-level backend/middleware experience. Experience with Spring, distributed systems, and authentication/authorisation frameworks. Strong problem ...

whom Ability to operate in ambiguity and define clarity Data & Technical Depth Experience with data models, pipelines, and analytics systems Familiarity with AI/ML or data extraction (e.g., NLP) preferred Comfortable working closely with engineering teams Execution Bias for action; able to go from idea to shipped product Strong ...

both executive and technical audiences. Demonstrated experience in driving technical sales engagements and managing complex deal cycles. Preferred Qualifications Direct experience with AI/ML infrastructure architecture and protocols, network fabric and software runtime Experience in AI application and Agentic development. Experience with Infrastructure as Code (IaC), service orchestration Expertise ...

technician in the field, not just the happy path. Disciplined engineering practice and version control (Git). Nice to have: Experience deploying AI/ML on robots and diagnosing model or behaviour issues in the field. Familiarity with remote‐diagnostics or fleet‐telemetry platforms. Experience authoring service documentation or work ...

Location: London (Hybrid) Reporting to: Senior AI Recruitment Manager We’re looking for a Software Engineering Recruitment Manager with a focus in AI/ML to step into a high-performing, revenue-generating desk and take ownership of a critical growth area within the business. This is not a rebuild ...

with real‐world scenarios, learners can gain the skills they need for entry‐level tech roles. AWS re/Start provides introductory AI/ML training for developers and prepares learners for job interviews through interview coaching, resume support, and professional skill sessions. Graduates of the AWS re/Start ...

fast-paced environments Knowledge of UML and/or DO-178C is advantageous but not necessary Experience working with or familiarity with AI/ML models is preferred. Additional Information This role has a salary of between £36,000 and £45,000 plus our flexible benefits package. We are open ...

verbal communication, including executive-level reporting. Comfortable operating autonomously and ambiguously as the most senior delivery person in the room. Experience implementing AI/ML or data-intensive products is desirable, along with an understanding of the specific delivery nuances these bring, such as data readiness, model behaviour, and explainability. ...

FaaS/event-driven model. You don't have to write code, but you should speak the language fluently. Familiarity with AI/ML workloads and GPU-backed compute — what teams need to train, fine-tune, and serve models. A strong sense of developer experience — you understand what makes ...

need. Build on Training: Ship tooling around fine-tuning and post-training of LLMs, from data pipelines to evaluation, working alongside our applied ML engineers. Own Regional Capability: Turn EMEA-specific requirements into product, working with core platform where the line is unclear. Engineering Quality: Set the engineering ...

management experience Network design experience Maker skills - you like building and fixing things with your hands Video processing experience (gstreamer) Exposure to AI and ML A degree in computing What you’ll get 27 days holiday Annual paid day off for charity work Enhanced parental leave L&D support, including ...

bias to action and taking the initiative. You could be a great fit ifYou have experience building complex reusable modules. You have integrated modern ML/AI technology into app journeys. You thrive when given ownership and autonomy. You're passionate about building the best products possible with the latest ...

operate worldwide 24/7. The Storage team within R&D manages hundreds of petabytes of storage to facilitate industry-leading AI/ML-based trading. We are seeking an experienced Storage Engineer who enjoys being challenged, appreciates an open and collaborative organizational structure, and thrives in a fast-paced ...

with Agile methodologies (Scrum, Kanban) and tools (Jira, Confluence) Experience with ERP systems (Odoo, SAP, Oracle) or system integration projects Exposure to AI/ML projects or digital transformation programmes Understanding of data sovereignty, compliance, and government IT standards Experience in public safety, transport, healthcare, or financial services sectors Consulting ...

computer science, engineering, or a related field, or prior experience as an engineer. Experience in cloud infrastructure, developer platforms, enterprise software, and AI/ML products. Familiarity with the EU technology landscape, including data residency, sovereignty, and regulatory requirements (e.g. GDPR, EU AI Act). Experience operating in high-growth ...

post-incident review. Advance attack surface management, vulnerability reduction, offensive security, and adversarial testing. Advance detection engineering through modern approaches including AI/ML-driven analytics, to improve signal quality and reduce time to detect. Strengthen security tooling, automation, telemetry, and integration across cloud, hybrid, and on-premises environments. Lead ...

data management tools. Engineering & Technology: Identify top-tier software engineers, data scientists, cloud architects, and product managers proficient in scalable SaaS platforms, AI/ML models, and regulatory-compliant software. Candidate Engagement & Pipeline Management Passive Outreach: Craft compel-and-convert messaging tailored to Medidata's mission, platform capability, and unique ...

platforms such as modern microprocessors and FPGA‐based soft‐core processors. Extensive knowledge of SDR framework (OpenCPI, GNURadio). Extensive knowledge of AI/ML techniques. Designing and verifying FPGA functions with VHDL including DSP functions such as FFTs, IFFTs, DDCs, DUCs, FIR and IIR filters etc. A thorough understanding ...

Frontier topics: multimodal models, agents, tool use, test-time compute, world models Published research at ICML, ICLR, NeurIPS, EMNLP, ACL, or AAAI PhD in ML/NLP — or equivalent practical experience you can point to Public work: non-trivial AI side projects, interdisciplinary experiments, open-source contributions Full-stack research ...

analysis, silicon validation, performance modelling, systems engineering, or architecture analysis.Experience with automotive, robotics, edge AI, embedded AI, or heterogeneous compute platforms.Familiarity with AI/ML workloads, vision pipelines, robotics perception/planning workloads, or automotive ADAS workloads.Experience defining TDP, sustained performance targets, thermal constraints, or power envelope methodologies.Knowledge ...

Python, C++, Rust, or similar systems languages. Experience designing and operating highly available distributed systems. Experience with GPU infrastructure, high-performance computing, ML infrastructure, or large-scale compute platforms. Experience with Kubernetes, cloud infrastructure, Linux, networking, and observability tooling. Excellent debugging, systems design, and operational problem-solving skills. Strong communication ...

judgment to apply them Experience in a Global Systems Integrator, agency, or professional services environment Preferred AWS certifications: Solutions Architect Professional and specialty certifications (ML, Data Analytics) Hands‐on experience with Amazon Bedrock and generative AI implementations Familiarity with Amazon Marketing Cloud (AMC) and advertising technology Prior AWS partner‐company ...