1,001 to 1,014 of 1,014 Machine Learning Jobs in the UK excluding London

You must have experience with: Extensive experience as a Senior AI Engineer. Strong data modelling, machine leaning and software development experience. Knowledge of building and deploying AI/ML models. Python GCP preferred Experience with Typescript and Node.js Experience deploying models in a production environment along with natural language processing. Mentoring and team leader experience. Ideally experience working in More ❯

decisions and balancing user needs with business goals. Nice to Have: EdTech, education, or e-learning experience. Knowledge of school leadership or teaching workflows. Familiarity with AI/ML applications in user-facing products. Background in B2B SaaS or subscription models. What Makes This Role Exciting You'll shape the future of AI in education, delivering impact at scale. More ❯

you'll be doing: Own the vision and roadmap for Salesforce, Zuora, Microsoft Dynamics, and other internal platforms, aligning them to the company's platform strategy. Incorporate AI/ML features such as predictive analytics, workflow automation, and intelligent recommendations into platform design. Define and manage a systems roadmap, balancing immediate priorities with long-term evolution. Partner with Engineering, Admin … product management experience, ideally with enterprise systems or back-office platforms. Strong Salesforce experience (Zuora and Microsoft Dynamics also desirable). A proven track record of delivering AI/ML-enabled features that improve efficiency, data quality, and workflows. Strong understanding of workflow design, automation, and integration in a B2B SaaS environment. Salesforce administration or architecture experience (certification a plus … give back to yourself or your community Cycle-to-work Scheme Pension scheme with employer contributions Life Assurance - 3X base salary Rewards Program - access to discounts and cashback LinkedIn Learning License for upskilling & development Ready to Apply? Please apply with your latest CV. Know someone great for the job? We offer a referral scheme-just get in touch! Note More ❯

you'll be doing: Own the vision and roadmap for Salesforce, Zuora, Microsoft Dynamics, and other internal platforms, aligning them to the company's platform strategy. Incorporate AI/ML features such as predictive analytics, workflow automation, and intelligent recommendations into platform design. Define and manage a systems roadmap, balancing immediate priorities with long-term evolution. Partner with Engineering, Admin … product management experience, ideally with enterprise systems or back-office platforms. Strong Salesforce experience (Zuora and Microsoft Dynamics also desirable). A proven track record of delivering AI/ML-enabled features that improve efficiency, data quality, and workflows. Strong understanding of workflow design, automation, and integration in a B2B SaaS environment. Salesforce administration or architecture experience (certification a plus … give back to yourself or your community Cycle-to-work Scheme Pension scheme with employer contributions Life Assurance - 3X base salary Rewards Program - access to discounts and cashback LinkedIn Learning License for upskilling & development Ready to Apply? Please apply with your latest CV. Know someone great for the job? We offer a referral scheme-just get in touch! Note More ❯

your skills for success in both public and private sectors. Our commitment to designing impactful careers and coaching future leaders is evident in our over 10 prestigious awards in Learning & Development and Equality, Diversity & Inclusion. As a Top 20 Employer for Social Mobility and a proud B-Corp certified organisation, we're not just advancing careers; we're fostering … at Sparta Global. About this role You'll become versatile in a wide array of tools across topics covering data focused coding, data visualisation, Cloud Services, Big Data and Machine learning. You will be equipped to work within a variety of roles including but not limited to; Data Engineer, Data Analyst, Data Scientist, Information Engineer. You'll be designing More ❯

product landscapes to identify optimisation and modernisation opportunities. Define and implement platform strategies, including cloud adoption, SaaS transformation, and legacy system replatforming. Advise on emerging technologies such as AI, ML, automation, and advanced analytics, translating innovation into practical solutions. Shape architectural standards, governance, and best practices across client programmes. Mentor and guide junior architects, developers, and cross-functional teams to … Core Skills & Expertise of the Lead Architect Platform-centric architecture, SaaS transformation, and product modernisation. Cloud solutions (IaaS, PaaS), containerisation, microservices, and API-led designs. Emerging tech integration: AI, ML, automation, and data-driven insights. Architectural governance, trade-off analysis, and technical roadmap development. Strong collaboration, mentoring, and stakeholder management skills. If this Lead Architect position is of interest, please More ❯

product landscapes to identify optimisation and modernisation opportunities. Define and implement platform strategies, including cloud adoption, SaaS transformation, and legacy system replatforming. Advise on emerging technologies such as AI, ML, automation, and advanced analytics, translating innovation into practical solutions. Shape architectural standards, governance, and best practices across client programmes. Mentor and guide junior architects, developers, and cross-functional teams to … Core Skills & Expertise of the Lead Architect Platform-centric architecture, SaaS transformation, and product modernisation. Cloud solutions (IaaS, PaaS), containerisation, microservices, and API-led designs. Emerging tech integration: AI, ML, automation, and data-driven insights. Architectural governance, trade-off analysis, and technical roadmap development. Strong collaboration, mentoring, and stakeholder management skills. If this Lead Architect position is of interest, please More ❯

product landscapes to identify optimisation and modernisation opportunities. Define and implement platform strategies, including cloud adoption, SaaS transformation, and legacy system replatforming. Advise on emerging technologies such as AI, ML, automation, and advanced analytics, translating innovation into practical solutions. Shape architectural standards, governance, and best practices across client programmes. Mentor and guide junior architects, developers, and cross-functional teams to … Core Skills & Expertise of the Lead Architect Platform-centric architecture, SaaS transformation, and product modernisation. Cloud solutions (IaaS, PaaS), containerisation, microservices, and API-led designs. Emerging tech integration: AI, ML, automation, and data-driven insights. Architectural governance, trade-off analysis, and technical roadmap development. Strong collaboration, mentoring, and stakeholder management skills. If this Lead Architect position is of interest, please More ❯

Assurance – Mission System/Edge/Operational SMEFocus on AI deployment in mission-critical or edge environmentsExperience with operational AI systems in defence, security, or field-based contextsAI Assurance – ML Ops SMEExpertise in ML pipelines, model monitoring, and deployment governanceStrong understanding of responsible AI practices in production environmentsAI Assurance – Risk Management SMESkilled in AI risk frameworks (e.g. EU AI Act More ❯

on safety, resilience, and human factors in AI adoption Guide assurance of autonomous/semi-autonomous platforms in line with MOD Ethical Principles for AI Define criteria for human–machine teaming, ensuring trust, transparency, and operator control Identify and mitigate risks and dependencies around AI adoption at the edge Essential Experience: Strong track record in mission-critical operational systems … defence, aerospace, transport, etc.) Deep knowledge of AI assurance and risk frameworks (e.g., NIST AI RMF, ISO/IEC 42001, EU AI Act) Hands-on experience deploying AI/ML at the edge, including resource-constrained environments Experience with adversarial ML techniques and cyber resilience Experience integrating or assuring autonomous/semi-autonomous systems (UAVs, UGVs, maritime, aerospace) Applied expertise More ❯

on safety, resilience, and human factors in AI adoption Guide assurance of autonomous/semi-autonomous platforms in line with MOD Ethical Principles for AI Define criteria for human–machine teaming, ensuring trust, transparency, and operator control Identify and mitigate risks and dependencies around AI adoption at the edge Essential Experience: Strong track record in mission-critical operational systems … defence, aerospace, transport, etc.) Deep knowledge of AI assurance and risk frameworks (e.g., NIST AI RMF, ISO/IEC 42001, EU AI Act) Hands-on experience deploying AI/ML at the edge, including resource-constrained environments Experience with adversarial ML techniques and cyber resilience Experience integrating or assuring autonomous/semi-autonomous systems (UAVs, UGVs, maritime, aerospace) Applied expertise More ❯

on safety, resilience, and human factors in AI adoption Guide assurance of autonomous/semi-autonomous platforms in line with MOD Ethical Principles for AI Define criteria for human–machine teaming, ensuring trust, transparency, and operator control Identify and mitigate risks and dependencies around AI adoption at the edge Essential Experience: Strong track record in mission-critical operational systems … defence, aerospace, transport, etc.) Deep knowledge of AI assurance and risk frameworks (e.g., NIST AI RMF, ISO/IEC 42001, EU AI Act) Hands-on experience deploying AI/ML at the edge, including resource-constrained environments Experience with adversarial ML techniques and cyber resilience Experience integrating or assuring autonomous/semi-autonomous systems (UAVs, UGVs, maritime, aerospace) Applied expertise More ❯

on safety, resilience, and human factors in AI adoption. Guide assurance of autonomous/semi-autonomous platforms , aligned with MOD Ethical Principles for AI . Define criteria for human–machine teaming , ensuring trust, transparency, and operator control. Identify and mitigate risks and dependencies around AI adoption at the edge. Essential Experience Strong track record in mission-critical operational systems … aerospace, transport, etc.). Deep knowledge of AI assurance and risk frameworks (NIST AI RMF, ISO/IEC 42001, EU AI Act). Hands-on experience deploying AI/ML at the edge , including resource-constrained environments. Experience with adversarial ML techniques (robustness testing, red-teaming) and cyber resilience . Experience integrating or assuring autonomous/semi-autonomous systems (UAVs More ❯

processes Develop and implement frameworks for human oversight, trust, accountability, and explainability Conduct ethical risk assessments covering fairness, bias, autonomy, and proportionality of AI decision-making Advise on human–machine interaction, including usability, operator trust, and training requirements Contribute to TEV&V activities with a focus on safety, resilience, and ethical compliance Guide stakeholders on adherence to ethical principles … leadership on responsible AI practices to project teams Required Expertise: Proven experience in responsible AI, human factors, or ethics in technology Track record embedding ethical frameworks into AI/ML assurance processes Strong understanding of bias, fairness, and explainability challenges in AI Applied expertise in human factors, behavioural science, or ergonomics related to technology adoption Ability to bridge technical assurance … centred design, and regulatory compliance Desirable Experience: Experience in Defence, Aerospace, or national security environments Familiarity with MOD or Defence ethical guidance for AI Background in user research, human–machine teaming, or safety-critical systems Why This Role: This is a rare opportunity to influence how AI interacts with humans and society in high-stakes environments. Join a programme More ❯