3,401 to 3,425 of 5,434 Machine Learning Jobs in the UK

estimation, equalisation/MIMO detection, decoding), strong C++/OO programming, link/system-level simulation experience, familiarity with 3GPP standards and AI/ML (particularly agentic AI) applied to development workflows, and MATLAB-based data analysis, and should be educated to PhD level or equivalent in communications, software engineering … real-time software and FPGA/ASIC testing and verification.Researching emerging technologies to support NEC’s product planning and sales activities. Applying AI/ML techniques, particularly agentic AI, to automate and accelerate software and hardware development.Supporting NEC’s 3GPP standardisation delegates by generating simulation results for inclusion in contributions ...

owners to identify threats, evaluate the design and operating effectiveness of controls, and document and track risk treatment plans. This includes evaluating AI/ML use cases (internal builds and third-party services) for security, data protection, and misuse risks.Third‐Party Risk Management: Plan and execute third‐party risk assessments … support privacy risk assessments and data protection controls as needed. Work with these stakeholders to assess privacy and data protection implications of AI/ML solutions, including data ingestion, training, and model outputs.AI Risk & Governance: Define and maintain security and risk guardrails for the use of AI/ML technologies ...

customer business challenges to cloud-based solutions Cloud Knowledge:• Understanding of core cloud services relevant to entertainment and broadcast workloads (compute, storage, databases, analytics, ML/AI, edge services, content distribution, and security)• Familiarity with cloud partner ecosystems and Professional Services capabilitiesOpportunity Development & Execution:• Identify, qualify, and close new opportunities … across compute, storage, AI/ML, media services, and content delivery workloads• Collaborate with teammates, industry specialists partners, and Professional Services to evangelize entertainment and broadcast cloud use cases• Maintain an accurate and healthy pipeline with reliable and accurate forecastingBasic qualifications- Bachelor's degree- Experience selling cloud solutions- Experience with ...

goals. Collaboration with other areas maintains alignment with business strategy, while solutions are based on sophisticated analytical thought and research. Qualifications & Skills AI/ML Architecture: AI/ML frameworks, multi‐cloud platforms, data architectures, MLOps, and secure, scalable enterprise AI solution design. Enterprise Architecture & Governance: EA frameworks, AI governance ...

Experience :Background in distributed HPC, cloud environments, data engineering & analytics.Knowledge of EDA workflows and semiconductor engineering environments.Proficiency in Python and data analysis/ML frameworks.Ability to turn sophisticated data into clear, actionable strategy.“Nice To Have” Skills and Experience :Experience with IBM Spectrum LSF or other job schedulers.Familiarity with NetApp … high-performance storage systems.Experience applying AI/ML to workload optimization or resource management.Experience building production-grade data pipelines.Exposure to FPGA and Emulation infrastructure.In Return:Join a collaborative, fast paced team solving significant platform challenges. There will be room to grow technically, contribute directly to platform strategy, and improve performance ...

agentic AI systems in production Strong Python skills and hands‐on experience with LLM frameworks (LangGraph, LangChain, Haystack, or similar) Experience deploying AI/ML systems into production environments Familiarity with Docker, Git, and cloud platforms (AWS preferred) Understanding of secure deployment patterns - air-gapped, on-premises, or sovereign cloud … secure-by-design development principles (ISO 27001, NIST, OWASP) Experience in defence, national security, or similarly regulated environments Contributions to open-source AI/ML projects Soft Skills Delivery-focused - you ship working systems, not prototypes Comfortable operating across the stack whenneeded Strong communicator - can present to technical ...

Director of Strategy and Architecture *Multiple domains (applications, data, infrastructure, integration, AI/ML, cloud, security). *Hands-on experience with data platforms, analytics, and emerging technology adoption . *Lead Technology due diligence for M&A and support integration planning.? * Must be able to attend Stevenage twice a week … Track record of establishing architecture frameworks in environments with low standards and maturity. *Strong knowledge across multiple domains (applications, data, infrastructure, integration, AI/ML, cloud, security). *Hands-on experience with data platforms, analytics, and emerging technology adoption. *Excellent ability to communicate architectural concepts in business-friendly language across ...

agentic AI systems in production Strong Python skills and hands‐on experience with LLM frameworks (LangGraph, LangChain, Haystack, or similar) Experience deploying AI/ML systems into production environments Familiarity with Docker, Git, and cloud platforms (AWS preferred) Understanding of secure deployment patterns - air-gapped, on‐premises, or sovereign cloud … principles (ISO 27001, NIST, OWASP) Experience in pharma/bio tech or highly regulated environments is a plus Contributions to open-source AI/ML projects Soft Skills Delivery-focused - you ship working systems, not prototypes Comfortable operating across the stack when needed Strong communicator - can present to technical ...

power recommendations, ranking, and personalization across Bumble products, delivering measurable improvements in user engagement and safetyDesign, develop, and deploy production-grade models using modern ML frameworks such as PyTorch , ensuring scalability and reliability in high-traffic environments Build and deploy production AI Agents using raw and fine-tuned foundational Large … Language Models (LLMs), along with sub-agents, tools, and MCP integrationsArchitect end-to-end ML pipelines, integrating data processing (e.g. Spark, Airflow) with model training, evaluation, and deployment workflows Drive experimentation frameworks, including A/B testing and offline evaluation, to continuously improve model performance and product outcomesPartner cross-functionally ...

data and AI solutions are accurate, secure, and accessible to stakeholders. This role is based out of Knutsford. Key Skills/Qualifications AI/ML Architecture: AI/ML frameworks, multi cloud platforms, data architectures, MLOps, and secure, scalable enterprise AI solution design. Enterprise Architecture & Governance: EA frameworks, AI governance ...

into elegant, scalable storage solutions that exceed expectations Act as trusted technical advisor throughout the sales cycle Solution Design Architect storage for AI/ML training, HPC simulations, data analytics, and GPU-accelerated workloads Design for reliability, resilience, security, and scale—balancing performance with data protection Create BOMs, system architectures … years) 3-8+ years in pre-sales, solutions architecture, or technical consulting Hands-on experience with enterprise storage systems Experience with AI/ML infrastructure, HPC, or high-performance workloads (preferred) Success managing complex technical sales cycles What Sets You Apart Genuine curiosity about AI and its impact across ...

familiarity with analytics workflows, BI tools, SQL-based environments, or data platform ecosystems.Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, particularly in the context of analytics, BI, or data platforms.Preferred Qualifications:Experience building or enhancing self-service analytics, BI, data … support tools) with attention to trustworthy AI principles including safety, bias, privacy, and failure-mode analysis, and that safely integrate and operate AI/ML‐enabled solutions that improve analytics outcomes.Background developing frameworks, tools, or platform capabilities that scale across multiple teams or products, with strong governance, security, and operational ...

technical voice of the team in company-wide conversations about architecture, infrastructure, and platform strategyInfluence how Spire thinks about automation, data, and AI/ML across the broader engineering organizationBasic Qualifications: 7+ years of software engineering experience, with at least 3 in a technical leadership or staff-level individual contributor … find it.The communication and influence skills to drive technical decisions across teams you do not directly controlPreferred Qualifications:Experience applying AI/ML or advanced analytics to operational or monitoring problemsExperience writing performance software in RustBackground in space systems, aerospace, or highly constrained real-time environmentsExperience building data lakes, telemetry ...

Data Engineering & Observability Build and maintain pipelines for high-volume telemetry data (metrics, logs, traces) . Ensure data quality, labelling, and feature engineering for ML models . Leverage observability tools to inform AI systems . Reliability & Governance Define SLIs/SLOs for AI systems embedded in infrastructure workflows . Ensure … robustness, explainability, and auditability of AI-driven decisions . Implement feedback loops to continuously improve model performance . AI-Driven SRE Enablement Develop ML/AI models for anomaly detection, incident prediction, and root cause analysis across distributed systems . Implement intelligent alerting systems to reduce noise and improve signal ...

Posted on 03/11/2025 We provide end-to-end IT solutions and services including Applications services, Data & Analytics services, AI/ML Technologies and Professional services in the UK and EU market. Job Description Job Description We are seeking an experienced Cloud Transformation Architect/.NET Technical ...

integrated data and platforms Transformation & Innovation Drive the evolution and simplification of the risk technology landscape, reducing fragmentation and technical debt Apply AI/ML use cases to enhance risk identification, monitoring, and predictive insights Introduce modern capabilities such as real-time risk monitoring, advanced analytics, and event-driven architectures … Financial Risk Proven experience building and scaling large data ecosystems Strong understanding of risk data aggregation, reporting, and regulatory expectations Experience applying AI/ML within risk, data, or analytics domains Broad experience across RFT (Risk, Finance, Treasury) landscapes and integrations Leadership & Delivery Proven ability to lead global teams ...

advanced threat detection programmes.– Own the vulnerability management programme– Implement enterprise frameworks including IAM, SIEM, and data classification.– Anticipate emerging threats, leverage AI/ML for predictive security, and set the technology vision– Lead Security Incident Response ProgrammeGovernance, risk, and compliance (GRC)– Define and own the GRC programme, including … term security architecture aligned to business strategy andregulatory requirements; guides enterprise technology decisions includingcloud strategy and zero trust– Anticipates emerging threats, leverages AI/ML for predictive security, andsets the technology vision– Deep understanding of the GRC landscape; implements appropriate controlsand adapts as the environment shiftsEnd-to-end ownership– Develops ...

business outcomes Partner closely with product managers and operators to turn cumbersome manual workflows into agentic and AI‐driven automations Work with AI and ML engineers to build AI‐native systems that combine deterministic logic, traditional ML models, and LLMs Design and build secure, compliant, and reliable systems at scale ...

self-service of data analytics to data hungry internal users as well as automation of all our data workflows - from simple ETL jobs to ML training and prediction. The data team at OEV is growing at speed. We have invested time and resources on establishing a core data platform … include integration with third party systems and ingestion through APIs)Scope and deliver new data engineering projects in collaboration with business stakeholdersDevelop and deploy ML infrastructure to help build out our ever-growing AI requirements and use casesCollaborate closely with our dev teams to build seamless integrations between our back ...

code review, debugging, system architecture decisions, and on-call incident response. UK engineers operate across many product areas: consumer apps, fintech, infrastructure, AI/ML, gaming, defence and healthcare. The career has a famously flat hierarchy — Senior Engineer is a destination role at most companies, paying £80,000–£140,000+ ...

Analytics or AI. Proven experience developing and delivering enterprise data and AI strategies. Strong understanding of data platforms, data engineering, analytics and AI/ML technologies. Experience leading cross-functional teams and influencing senior stakeholders. Knowledge of data governance, compliance and data quality best practices. Experience delivering business intelligence, reporting ...

supplier security assessments. Familiarity with CAF, CE+, NIST, CIS Controls, ISO 27001. Strong incident response, analytical, and problem solving skills. Knowledge of AI/ML risks and AI governance. Experience with phishing campaigns, penetration testing, and remediation. Understanding of healthcare data protection, ideally NHS/UK standards. Excellent communication skills ...

data‐driven decision‐making Collaborate with BI, IT/Data and AI teams to ensure master data supports enterprise reporting and AI/ML initiatives What We Are Looking For: Bachelor's degree in Information Systems, Business Management or related field a plus (Master's preferred) 10+ years of experience … through major transformation events (ERP implementation, M&A integration, cloud migration) Industry‐specific experience relevant to the hiring organization Familiarity with AI/ML data readiness and modern data architecture This job description is not designed to cover or contain a comprehensive listing of activities, duties, responsibilities that are required ...

integration. Candidate profile: - Consulting background with demonstrable delivery experience in AI governance, model risk, or responsible AI in regulated sectors. - Solid understanding of ML/LLM lifecycle controls: validation, monitoring, explainability, data governance and human oversight. - Experience applying regulatory frameworks and standards to large commercial or public-sector programmes. - Strong ...

integration. Candidate profile: - Consulting background with demonstrable delivery experience in AI governance, model risk, or responsible AI in regulated sectors. - Solid understanding of ML/LLM lifecycle controls: validation, monitoring, explainability, data governance and human oversight. - Experience applying regulatory frameworks and standards to large commercial or public-sector programmes. - Strong ...