326 to 350 of 993 Machine Learning Jobs in the UK excluding London

understanding industry trends like AI and developing our future computing devices that will power artificial intelligence. This touches all aspects of computing including machine learning, but also security, confidentiality, energy efficient performance, and software ecosystems. Responsibilities: As a member of a versatile team, you will work closely with … communicate clearly with both expert and non-expert audiences."Nice To Have" Skills and Experience: Arm architecture fundamentals. Vector processing and parallel programming. Multimodal machine learning & Transformers, agentic AI.AI & Simulation Frameworks. Architecture performance analysis and optimisationLocations: This position offers the flexibility to be based in either Cambridge ...

regulatory compliance. Support GDPR compliance activities, including Data Protection Impact Assessments (DPIAs) and governance of data used within our data estate, and AI and machine learning solutions. Act as the primary point of contact for data-related regulatory and governance matters. Define policies and standards for third-party … highly regulated sectors. Understanding of Responsible AI principles, AI governance frameworks and the risks associated with AI-enabled solutions. Experience supporting governance requirements for machine learning and advanced analytics initiatives. Knowledge of SRA data handling obligations, and insurer/corporate client data-sharing requirements are desirable ...

positive difference in people's lives. We thrive on solving complex challenges through creative thinking and the latest tools and tech. As a Machine Learning Engineer,AI, you'll be responsible for researching, developing, and testing new AI algorithms, models, and technol click apply for full job details ...

positive difference in people's lives. We thrive on solving complex challenges through creative thinking and the latest tools and tech. \n As a Machine Learning Engineer,AI, you'll be responsible for researching, developing, and testing new AI algorithms, models, and technol... \n \n \n ZIPC1_UKTJ ...

data engineering and integration solutions meet wider architectural requirements. Support the delivery of data capabilities involving Artificial Intelligence (AI) and Machine Learning (ML). Apply appropriate data governance, assurance and architectural frameworks, particularly for AI-enabled services. Work with technical stakeholders to develop robust, scalable data solutions aligned … integration, data modelling and complex pipeline design. Knowledge of data governance, assurance frameworks and data migration. Experience delivering data capabilities associated with AI and Machine Learning. Understanding of assurance and governance frameworks for AI-enabled services. Active Security Check (SC) clearance. Experience within Army Digital, data fabric, Zodiac, software ...

people's \n lives. We thrive on solving complex challenges through creative thinking \n and the latest tools and tech. \n As a Machine Learning Implementation E... \n \n \n \n \n \n ZIPC1_UKTJ ...

Data Pipelines, Production Deployment Role Opportunity This is a long-term engagement with a leading Consultancy supplying into the Public Sector for an experienced Machine Learning Engineer with SC Clearance click apply for full job details ...

this programme, direct hands-on depth across the AI engineering stack is essential: 'strong general-purpose programming (most commonly Python) applied to AI/ML systems Semantic search, vector/embedding infrastructure, and RAG pipeline construction LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns … versioning, deployment, monitoring, and rollback for AI services in production Cloud-native engineering across major providers (AWS, Azure, or GCP), including their AI/ML tooling Containerisation and infrastructure-as-code for repeatable, auditable deployments Secure-by-design engineering appropriate to sensitive public-sector data Desirable Experience AWS/Azure ...

this programme, direct hands-on depth across the AI engineering stack is essential: Strong general-purpose programming (most commonly Python) applied to AI/ML systems Semantic search, vector/embedding infrastructure, and RAG pipeline construction LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns … versioning, deployment, monitoring, and rollback for AI services in production Cloud-native engineering across major providers (AWS, Azure, or GCP), including their AI/ML tooling Containerisation and infrastructure-as-code for repeatable, auditable deployments Secure-by-design engineering appropriate to sensitive public-sector data Desirable Experience AWS/Azure ...

ready architecture concepts including awareness of how engineering decisions around quality, latency, schema, security and lineage affect the reliability of downstream AI and ML systems A basic understanding of agentic AI concepts and how autonomous systems interact with and depend upon data and platform infrastructure You should apply … cloud or data platform certifications (e.g. Azure Data Engineer Associate, AWS Data Analytics Specialty, Databricks Certified Associate Developer, AWS Solutions Architect Associate) AI or ML engineering certifications (e.g. Databricks Generative AI Engineer, AWS Machine Learning Specialty, Google Professional ML Engineer) What's in it for you In addition ...

ready architecture concepts including awareness of how engineering decisions around quality, latency, schema, security and lineage affect the reliability of downstream AI and ML systems A basic understanding of agentic AI concepts and how autonomous systems interact with and depend upon data and platform infrastructure You should apply … cloud or data platform certifications (e.g. Azure Data Engineer Associate, AWS Data Analytics Specialty, Databricks Certified Associate Developer, AWS Solutions Architect Associate) AI or ML engineering certifications (e.g. Databricks Generative AI Engineer, AWS Machine Learning Specialty, Google Professional ML Engineer) What's in it for you In addition ...

ready architecture concepts — including awareness of how engineering decisions around quality, latency, schema, security and lineage affect the reliability of downstream AI and ML systems A basic understanding of agentic AI concepts and how autonomous systems interact with and depend upon data and platform infrastructure You should apply … cloud or data platform certifications (e.g. Azure Data Engineer Associate, AWS Data Analytics Specialty, Databricks Certified Associate Developer, AWS Solutions Architect Associate) AI or ML engineering certifications (e.g. Databricks Generative AI Engineer, AWS Machine Learning Specialty, Google Professional ML Engineer) What's in it for youAt Accenture ...

ready architecture concepts — including awareness of how engineering decisions around quality, latency, schema, security and lineage affect the reliability of downstream AI and ML systems A basic understanding of agentic AI concepts and how autonomous systems interact with and depend upon data and platform infrastructure You should apply … cloud or data platform certifications (e.g. Azure Data Engineer Associate, AWS Data Analytics Specialty, Databricks Certified Associate Developer, AWS Solutions Architect Associate) AI or ML engineering certifications (e.g. Databricks Generative AI Engineer, AWS Machine Learning Specialty, Google Professional ML Engineer) What's in it for youAt Accenture ...

systems. Design scalable, secure and maintainable AI solutions in partnership with our Technology and Data Platform teams. Define and own evaluation frameworks for ML, LLM and GenAI outputs, covering accuracy, consistency, bias mitigation and regression testing, so that everything we release meets Chambers’ standards for rigour and independence. Establish production … credibility with the gravitas to earn the confidence of engineers and senior leaders alike. You’ll bring: Essential Significant experience in senior applied AI, ML or data science leadership roles, with a track record of owning AI end to end (ideation, discovery, experimentation, production deployment, monitoring and iteration) across multiple ...

bank. JOB DESCRIPTION As a Lead Software Engineer at our client within Infrastructure Platforms Applied Artificial Intelligence and Machine Learning (AI/ML), you will join a small, specialist team responsible for creating horizontal capabilities, including reusable APIs, libraries, reference architectures, and practical enablement that accelerates delivery across … create new systems and capabilities that will accelerate our business. The ideal candidate brings a strong foundation in software engineering and AI/ML, along with proven experience leading the development and production operation of AI-enabled systems in secure, enterprise environments. In this role, you will collaborate closely with ...

required skills and qualifications to help us achieve our goals: Required ExperienceStrong progressive experience in some combination of pharma/life sciences, AI/ML product, product management, or strategy roles in technology-led organisations. A track record of taking complex, ambiguous business problems and turning them into structured, sized … operational teams day to day, building trusted relationships and turning their pain points into AI-shaped opportunities. Comfortable technical fluency in modern AI/ML — enough to design realistic engagements with engineers and avoid hype-driven choices. Proven experience redesigning business processes at a detailed, step-by-step level ...

week onsite Duration: 6-12 months Rate: £(Apply online only)pd Inside IR35 The role: Design, develop, and deploy end-to-end AI/ML solutions - with Production support experience (Production Deployment experience) Build scalable and robust AI architecture, including LLM-powered systems and multi-agent frameworks Translate business requirements … systems Integrate AI solutions with enterprise applications and APIs Hands on experience in Natural Language Processing (NLP), Computer Vision & Voice AI Build and manage ML pipelines (training, validation, deployment, monitoring) Ensure model explainability, fairness, and governance compliance Implement AI guardrails including safety, bias detection, and hallucination controls Ensure adherence ...

required skills and qualifications to help us achieve our goals: Required ExperienceStrong progressive experience in some combination of pharma/life sciences, AI/ML product, product management, or strategy roles in technology-led organisations. A track record of taking complex, ambiguous business problems and turning them into structured, sized … multi-initiative workstreams: capturing opportunities embedded in the business, sizing value, and owning outcome-based delivery. Comfortable technical fluency in modern AI/ML — enough to design realistic engagements with engineers and avoid hype-driven choices. Strong individual contributor instincts — you produce quality artefacts, not status updates. Preferred ExperienceExperience ...

Software Developer – Innovation (AI/ML, IoT & Digital Twins)We're looking for an innovative and hands-on Software Developer to join our growing Innovation team. This is a unique opportunity to work at the intersection of Artificial Intelligence, IoT, Real-Time Data, and Digital Twin technologies, creating customer-facing … Innovation SolutionsDesign and deliver end-to-end POCs and POVs that demonstrate business value and accelerate customer adoption. Develop solutions combining IoT, AI/ML, APIs, analytics, and Digital Twin technologies. Present working prototypes to both technical and executive stakeholders. Develop Data Pipelines and IntegrationsBuild streaming and batch ETL pipelines ...

attack paths, blast radius, privilege escalation, lateral movement, toxic combinations, identity exposure, control gaps, and vulnerability prioritization. Build and evaluate graph algorithms and ML models including centrality, community detection, similarity, anomaly detection, node classification, link prediction, embeddings, and Graph Neural Networks. Design GraphRAG and knowledge-grounded security assistants that combine ...

Data Engineer, AWS Data Analytics Specialty) AI platform and engineering certifications (e.g. Databricks Generative AI Engineer, AWS Machine Learning Specialty, Google Professional ML Engineer) AI practitioner certifications demonstrating hands-on fluency with leading AI platforms for example Anthropic Claude Certified Architect (CCAR-F or CCAR-P), Microsoft Agentic ...

need to know to get started in the world of consulting. Our in-depth training is full time and is delivered on a hybrid learning basis (classroom & and remote). After a period of training you'll have the opportunity to gain industry experience by working with … Python and tools such as NumPy, Pandas and PyTest. An introduction to AI and Machine Learning, including LLMs, SLMs and traditional ML models. Specialist training in AI testing, model performance, data quality, deployment and monitoring. Hands-on experience working on real-world projects with industry-leading clients. Ongoing ...

used by analysts worldwide with direct visibility to your contributions • Modern technology stack – Work with Python, React, AWS, Kubernetes, and emerging AI technologies • Continuous learning – Training, certifications, conferences, and clear paths to senior/principal/architect tracks • Flexible environment – Work from our Manchester office with hybrid flexibility, competitive … cross-functional teams and communicate technical concepts clearly What Would Make You Stand Out: • AI and Machine Learning – Understanding of AI/ML concepts, experience with LLMs, prompt engineering, or integrating AI capabilities into applications • Data Technologies – Experience with Kafka, PySpark, Parquet and Avro data formats, Apache Airflow ...

architectures to executive boards and governance forums Priority Skill AI We are looking for experienceacross several ofthe following skills and experience: AI/ML architectural patterns,best practices, and platform technologies Experience designing AI/ML-driven solutions and data lifecycle management Data solution design,selecting theappropriate cloud-nativeservices … Foundational certifications in AWS and/or GCP Specialist certifications in AWS and/or GCP on data engineering and/or AI/ML(e.g., AWS Certified Machine Learning Specialty) Whats in it for you In addition to a competitive basic salary, you will also have ...

projects with afantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines andsystems that enable data analysis and machine learning. You will also collaborate with datascientists, analysts, and other stakeholders to ensure data quality and reliability. Requirements Key Responsibilities: Develop Data Engineering solutions ...