501 to 525 of 1,076 Machine Learning Jobs in the UK

measures success, and makes decisions. You will own the data stack end-to-end and work at the intersection of analytics, engineering, and applied machine learning. The Opportunity This is a high-impact, high-autonomy role where you will design, build, and scale the company's entire data capability ...

response accuracy • Partner with product and engineering on chat flows and continuous improvement • Contribute to AI platform architecture and best practices • Mentor junior ML/AI engineers (no formal line management) Key details • Salary: £80,000 base + 10% bonus • Pension: 5% matched • Working model: Hybrid, 3 days per week ...

Role summary You will work as a generalist Data Scientist, combining strong classical data science foundations with solid Python engineering and familiarity with modern ML/LLM tooling. The role is hands-on and delivery-focused, with opportunities to ship work into production and iterate quickly. Key responsibilities Build ...

techniques* Go or Python* Kubernetes* Helm* AWS (EKS. EC2, S3)* Docker (including the use of docker stacks) Preferred Skills * Familiarity with basic AI/ML concepts* Redis keystore * Rust* Robot testing framework * Message brokering systems (e.g. NATS, qpid, Kafka) * Linux networking Reasonable Adjustments: Respect and equality are core values ...

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 ...

across teams. Desirable CI/CD experience. High‐volume or real‐time data environments. Data cataloguing tools (e.g. Purview). Data mesh, AI/ML, or sustainability‐focused data practices. What's in it for you A modern Microsoft Fabric environment with real organisational investment. The opportunity to shape data ...

deployment, and integration). Ensure AI solutions are scalable, secure, explainable, ethically designed, and integrated via APIs and iPaaS. Support responsible adoption of AI, ML, and generative AI. Experience & Skills Essential 8+ years in architecture roles (Enterprise or Lead Architect). Experience in complex, integration-heavy, data-driven environments. Strong ...

deployment, and integration). Ensure AI solutions are scalable, secure, explainable, ethically designed, and integrated via APIs and iPaaS. Support responsible adoption of AI, ML, and generative AI. Experience & Skills Essential 8+ years in architecture roles (Enterprise or Lead Architect). Experience in complex, integration-heavy, data-driven environments. Strong ...

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 ...

industry experience Strong background in Python or similar languages Significant experience with backend development , microservices, and distributed systems Hands-on experience with AI/ML systems , including LLMs, RAG, or vector databases Solid understanding of containerisation and orchestration (Docker/Kubernetes) Experience delivering secure, on-premise or regulated systems Proven ...

Proven team leadership and mentoring skills ; managing 3-5 engineers Cloud deployment experience with Docker/Kubernetes Deep understanding of transformer architectures, AI/ML principles, and MLOps Experience developing REST APIs and Agentic AI frameworks (LangGraph, Crew AI) Desirable Experience in Insurtech or Fintech domains Knowledge of insurance workflows ...

industry experience Strong background in Python or similar languages Significant experience with backend development , microservices, and distributed systems Hands-on experience with AI/ML systems , including LLMs, RAG, or vector databases Solid understanding of containerisation xkybehq and orchestration (Docker/Kubernetes) Experience delivering secure, on-premise or regulated systems ...

platforms Agile delivery experience and strong collaboration skills Bonus skills: Experience with other cloud providers, DevSecOps automation, Apigee/API Gateway, or AI/ML-enabled cloud services. Security Eligibility: Candidates must be eligible for UK Security Clearance (SC or DV) if required. Why This Role? As a Cloud DevOps ...

supports quantitative research teams across multiple asset classes. This is not an asset-class-specific role, and not a traditional downstream analytics, BI, or ML-only position. The team focuses on large-scale alternative and unstructured data , working from first principles to define the data foundations, tooling, and experimentation standards ...

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 ...

operational considerations: performance tuning, capacity planning, availability, disaster recovery, security compliance. Stay up to date with new ServiceNow features, modules, trends (e.g., AI/ML, data fabric, Now Assist), assess applicability, and recommend adoption where relevant Required Qualifications & Skills Experience : Typically 10+ years of relevant experience in IT, of which ...

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 ...

Nice to Have but not essential: Experience with event-driven architectures and NextJS/NodeJS build environments. Experience supporting data pipelines or AI/ML workloads. Background in startup environments and exposure to security frameworks or compliance processes. Benefits: Hybrid working model (minimum 3 days a week in office). ...

Factory, Synapse, Data Lake, Functions, Logic Apps) Power BI data modelling and dashboard development expertise Practical experience using OpenAI APIs or similar AI/ML services Deep understanding of data warehousing concepts and architectures Confident communicator with strong analytical and problem-solving skills What ...

telemetry Highly desired experience includes: Experience with AI driven operational tooling (triage, runbooks, change management) with strong governance controls. Supporting large scale AI/ML workloads — SageMaker, GPU autoscaling, Kubernetes based model serving. Experience implementing policy as code (OPA) Experience implementing compliance frameworks (CIS, NIST, ISO 27001). Applying ...

lead the transition from "zero-shot" implementations to data-driven optimisation. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimise user outcomes based on real feedback. Mentor & Lead: You will work alongside full-stack engineers, upskilling ...

lead the transition from "zero-shot" implementations to data-driven optimisation. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimise user outcomes based on real feedback. Mentor & Lead: You will work alongside full-stack engineers, upskilling ...

lead the transition from "zero-shot" implementations to data-driven optimisation. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimise user outcomes based on real feedback. Mentor & Lead: You will work alongside full-stack engineers, upskilling ...

lead the transition from "zero-shot" implementations to data-driven optimisation. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimise user outcomes based on real feedback. Mentor & Lead: You will work alongside full-stack engineers, upskilling ...

lead the transition from "zero-shot" implementations to data-driven optimisation. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimise user outcomes based on real feedback. Mentor & Lead: You will work alongside full-stack engineers, upskilling ...