376 to 400 of 803 Machine Learning Jobs in the UK excluding London

MongoDB, Cassandra, or DynamoDB Experience supporting Power BI and Tableau reporting Proficiency in Python, Spark, or similar data engineering tools Understanding of AI and ML trends Strong communication and stakeholder management skills ...

secure, well-governed environments including IAM configuration, data encryption, and lineage tracking. Collaborate closely with stakeholders and product teams to ensure the platform supports ML/AI innovation. Establish Infrastructure-as-Code foundations using tools such as Terraform. You Will Have Strong experience designing data architectures within Google Cloud Platform ...

engineering stack and cloud-native architecture Collaborative team environment Opportunity to influence platform architecture and data pipelines How to Apply If youre an Applied ML Contractor looking a new exciting opportunity working focused on real operational decision systems, get in touch. Please apply if interested and well aim to respond ...

Desirable Skills for the Azure Solution Architect: Experience with Digital Twin implementations Knowledge of Grafana and InfluxDB Experience using Python Exposure to AI/ML or GenAI technologies If you are an experienced Azure Solution Architect with strong IoT integration experience looking to lead enterprise-scale cloud initiatives, please apply ...

Desirable Skills for the Azure Solution Architect: Experience with Digital Twin implementations Knowledge of Grafana and InfluxDB Experience using Python Exposure to AI/ML or GenAI technologies If you are an experienced Azure Solution Architect with strong IoT integration experience looking to lead enterprise-scale cloud initiatives, please apply ...

Tableau or similar) Ability to deliver technical solutions that generate measurable results Strong communication skills with non-technical audiences Desirable: Experience with AI/ML tools or cloud platforms Team leadership, coaching or mentoring experience Why this role? If you're looking to move from purely technical work into ...

data modelling, cleansing and dataset preparation. Experience supporting or developing Power BI dashboards and data visualisations. Familiarity with APIs, automation tools and AI/ML-driven platforms. Strong JavaScript and jQuery skills, including asynchronous handling and AJAX. Knowledge of version control tools such as Azure DevOps. Understanding of UX principles ...

design artefacts, including documentation • Knowledge of working with contemporary technologies and concepts e.g. MBE, MBSE, digital twins, simulated environments, AR/VR, AI/ML, IoT, etc. • Demonstrates understanding, knowledge and Knowledge of Systems Engineering with a focus on software-based product development including knowledge of appropriate Systems Engineering ...

based systems. Awareness of secure coding practices and modern cybersecurity threats. Knowledge of principles used in Agile environments. Desirable exposure Any exposure of AI, ML, Cloud or Virtualisation would be considered a plus. Clearance required Due to the nature of the clients' work, you will either already hold ...

checks across large datasets Investigate data issues and improve reliability, consistency and trust in the outputs Work closely with Product, Data Engineering, Apps and ML teams to deliver new features and improvements Keep documentation clear, current and genuinely useful This is a role for someone who cares about how data ...

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 ...

design). Design scalable, secure data solutions leveraging cloud platforms (Azure, AWS, or Oracle). Ensure data architecture supports advanced analytics, BI, AI/ML, and operational reporting. Oversee data architecture aspects of major change initiatives and programmes. Produce high-quality architecture deliverables and ensure they are integrated into delivery ...

similar Stakeholder managemenT Useful but not essential: 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 No two days will look the same ...

tasks? Security Engineering & Automation Architect and implement security controls across Microsoft 365, Azure, Dynamics 365, Kubernetes (AKS), and AI/ML workloads. Lead the design and deployment of conditional access, Defender for Cloud, Purview DLP, Azure Firewall, and related services. Integrate security into DevOps pipelines, CI/CD, infrastructure ...

with legal workflows A product focused and problem-solving mindset with the ability to work independently Ability to translate complex ideas (including AI/ML concepts) into simple, clear language. Strong analytical capabilities with proficiency in UML, process mapping, and modelling techniques. Skilled in tools such as Jira, Lucidchart ...

Role As Lead Data Scientist, you will: Lead and develop a growing Data Science team, setting standards and delivery cadence Own end-to-end ML solutions -from problem framing and feature engineering to deployment, monitoring, and governance Translate business objectives into modelling strategies aligned to risk appetite and operational constraints … regulated environment This role requires someone who thinks beyond experimentation - focusing on operational impact, adoption, and long-term model performance. Essential Experience Proven commercial ML/Data Science delivery with measurable impact Experience taking models into production and managing performance over time Prior experience leading or mentoring Data Scientists Strong ...

London, UK) Contract Duration : Initial 612 months Rate : Competitive Why this role? Real-World Impact: Build models that directly influence live fleet operations Applied ML Focus: Time-series, geospatial data, optimisation problems Complex Systems: High-volume, real-time operational data Autonomy: End-to-end ownership from modelling to deployment About … improve models in production Participate in technical discussions, code reviews, and agile delivery Required Skills & Experience Essential 36+ years commercial experience in Applied ML or Data Science Strong Python (pandas, numpy, sklearn or similar) Strong SQL Experience building and iterating on predictive models Conditional (must meet at least ...

Zenith Training is the fast-growing learning and development division of Zenith People. We work across various sectors, integrating strategic thinking with innovative training to help businesses deliver their strategy and future growth across the North East. As an Ofsted Rated Good provider and ISO 9001:2015 certified organisation … automation. Coach staff in critical skills such as prompt engineering, AI risk mitigation, ethical considerations, and change leadership to ensure responsible, scalable adoption. Align learning delivery with organisational needs, helping teams to build AI adoption roadmaps, configure Microsoft 365 Copilot, and extend functionality using Power Platform and Azure AI. ...

stay hands-on. Responsibilities include delivering Fabric solutions (OneLake, Lakehouse, Warehouses, Power BI), leading architecture and performance optimisation, and enabling advanced analytics and machine learning with Fabric and Azure ML. Key skills and responsibilities: Design and deliver scalable, secure end-to-end Microsoft Fabric solutions aligned with … Lakehouse, Warehouses and Power BI) Designing and managing enterprise-grade workloads and semantic models to enable robust analytics and reporting, utilising Fabric and Azure ML Planning and sizing Fabric initiatives, including capacity needs, effort estimates, infrastructure requirements, team resourcing, and delivery timelines. Extensive knowledge in data modelling, DAX, Python/ ...

industry standards. Evaluate, recommend and support the adoption of modern data technologies and tools, including Microsoft Fabric, Power BI, Copilot and emerging AI/ML solutions. Lead data platform modernisation initiatives, including optimisation of existing environments and supporting transitions from legacy systems to cloud-based solutions. Provide clear technical guidance … actionable insights for a range of stakeholders. Monitor and optimise data systems to enhance performance, reliability, accuracy and operational efficiency. Support the integration of machine learning and AI solutions, ensuring ethical governance, ongoing monitoring and responsible deployment. Lead, develop and motivate a high-performing data team, fostering ...

presales engagements across Data & AI, translating business challenges into well-defined Microsoft-led solutions. Designing high-level architectures across Azure Data Services, AI/ML, analytics, and modern data platforms. Supporting bids, proposals, and customer workshops, ensuring solutions are commercially viable and technically robust. Working alongside sales teams to qualify … ecosystem. Deep understanding of Azure Data Services , including Data Factory, Synapse, Databricks, Data Lake, Microsoft Fabric and related analytics tools. Knowledge of AI and machine learning capabilities within Azure, such as Cognitive Services and Azure OpenAI. Ability to run discovery sessions, shape solution designs, and contribute to proposals ...

critical MOD projects that support UK National Security, gaining hands-on experience with advanced technology and system infrastructures. This position offers considerable scope for learning and professional growth within a highly dynamic environment. Key Responsibilities Fault Diagnosis and Resolution: Identify, troubleshoot, and resolve hardware and software issues swiftly … Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

governance. Strong understanding of secure DevOps practices, CI/CD controls, and Infrastructure as Code (IaC) hardening. Experience applying security controls to AI and machine learning components, Demonstrable knowledge of cybersecurity frameworks and standards, including the NCSC Cyber Assessment Framework, ISO 27001, NIST, COBIT, as well as SABSA ...

Matlab/Simulink, IPG Carmaker or similar. - Experience in programming is essential. - Problem Solving skills and knowledge (6-Sigma or similar). - Knowledge of Machine Learning techniques. - Strong Analytical skills. - Team Player. - Good understanding of AGILE methodology. Education : BSc or MSc in Engineering or Data Science Additional information ...

hold SC and be eligible & willing to obtain eDV clearance. In this area of the business we provide DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission critical ...