226 to 250 of 2,243 Machine Learning Jobs in England

React Strong experience with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test tools such as xUnit, Cypress, Selenium, Jest, SoapUI Spectrum IT Recruitment (South) Limited ...

domains. Strong SQL skills and experience working with large, complex data sets. Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data ...

integration of equipment and software Command and Control Systems Hardware and software network design, implementation and management Acoustics/Sonar RF communications Autonomy, AI, Machine learning Data management Software Safety (DEF STAN 00-56 & IEC 61508 or equivalent) Technical environment: Java/JavaFX/Netbeans/C++/ ...

PoVs, accelerators, proof-of-concepts, and industry strategies tailored to client challenges in planning and analytics.? Innovate in the FP&A space by integrating Machine Learning & GenAI into FP&A processes for our clients. Develop cutting-edge analytical and planning scenario use-cases that can be leveraged ...

responsibilities: Design, develop, and maintain Front End and Back End components of an AI-driven redaction service Collaborate closely with Data Scientists to productionise machine learning prototypes Deliver MVP functionality using Agile methodologies , working in fortnightly sprints Enhance software resilience, stability, and scalability Work effectively with and improve ...

testable SQL in a Lakehouse architecture. Proficient in Power BI for building interactive dashboards and visualising insights. Skilled in Databricks for collaborative data engineering, machine learning, and analytics. Familiarity with the Medallion data design pattern. Solid understanding of data modelling and experience leading delivery strategies. Strong troubleshooting skills ...

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 ...

cloud deployment familiarity Interest in robotics, embedded systems, or IoT Experience with data visualisation or real-time data Exposure to AI/ML or computer vision ...

technology Architected seamless integrations between CRM, CMS, analytics, and other Back Office systems Led the development of data-centric applications and workflows, including ML and AI capabilities Built reusable platforms for web, mobile, and tablet experiences Set architectural principles across the delivery life cycle Aligned internal teams and external vendors ...

prompt engineering, vector databases (Pinecone, ChromaDB, FAISS), and model fine-tuning Cloud deployment experience with Docker/Kubernetes Understanding of transformer architectures, AI/ML principles, and MLOps Experience developing REST APIs Desirable Exposure to Insurtech or Fintech Familiarity with insurance workflows or policy administration systems Why Join? Work ...

analytics, or data-led programmes. Strategic mindset. Desirable: Experience within mobility, logistics, financial services, or tech-enabled service environments. Knowledge of AI/ML, automation, GDPR, and ISO standards. Degree in a related field, with advanced qualifications beneficial. We are an equal opportunities employer and welcome applications from all suitably ...

delivery of AI/automation solutions using Microsoft Copilot Studio and Power Platform. Hands-on expertise in Python for automation, integration, or AI/ML tasks. Strong understanding of MCP (Microsoft Cloud Platform), A2A (Application-to-Application) integration, and Azure AI Foundry. Track record of embedding controls, governance, and compliance ...

delivery of AI/automation solutions using Microsoft Copilot Studio and Power Platform. Hands-on expertise in Python for automation, integration, or AI/ML tasks. Strong understanding of MCP (Microsoft Cloud Platform), A2A (Application-to-Application) integration, and Azure AI Foundry. Track record of embedding controls, governance, and compliance ...

prompt engineering, vector databases (Pinecone, ChromaDB, FAISS), and model fine-tuning Cloud deployment experience with Docker/Kubernetes Understanding of transformer architectures, AI/ML principles, and MLOps Experience developing REST APIs Desirable Exposure to Insurtech or Fintech Familiarity with insurance workflows or policy administration systems Why Join? Work ...

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 ...

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 ...

paid for. Tech Stack • .NET 8 • Azure (Functions, cloud-native services) • PostgreSQL • Next.js (separate frontend team handles this) • Playwright for E2E testing • Databricks + ML tooling • GitHub Copilot/AI-assisted development • Modern observability stack (Application Insights, telemetry, logging) You will also work on large-scale integrations with global systems ...

need Strong technical leadership across Azure, AWS, and GCP, with expertise in cloud-native architecture, modernisation, DevOps, automation, containerisation, data platforms and AI/ML solutions. Proven experience leading and growing technical teams within cloud, data, AI and/or application practices. A track record in growing cloud, data ...

debugging skills. Good to Have Skills Knowledge of AWS Lake Formation , Kafka/Kinesis , Airflow , or Delta/Apache Hudi . Experience with ML workflows in telecom (churn, network prediction). Exposure to 5G network data models . ...

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 ...

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). ...

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). ...

CMake CI tools such as Jenkins Docker or containerisation environments Video/audio formats, codecs, containers SDI, SMPTE ST 2110 DSP (e.g. FIR filters) ML/AI toolkits (TensorFlow, PyTorch) Broadcast industry experience You'll enjoy a raft of employee focused benefits including, 25 days' holiday plus a full Christmas ...

compliant using the governance guardrails established by the Platform Team. Are we the perfect match? 2 years of experience in Software Engineering or ML Engineering, ideally with a specialised focus on building Generative AI products or agent-based systems. Strong proficiency in Python and solid software engineering fundamentals. Proven, hands ...

benefit: Image Processing Algorithms : Segmentation, Filter Design, Noise Removal, Compression, Super Resolution Computer Vision Algorithms : Tracking, Optical Flow, Particle Filtering, Pose Estimation Deep Learning techniques : Detection, Classification, Tracking, Siamese Networks Inverse Problems/Computational Imaging : Sparse Coding, Compressive Sensing Machine Learning : Support Vector Machines, Neural Networks Domain …/Hyper-Spectral, RF, IR, SAR, STAP The primary development environments used within the department are Matlab/Simulink and Python (including PyTorch Deep Learning libraries). What's in it for you? Every day you will work in a friendly and motivated team You will play ...