376 to 400 of 970 Machine Learning Jobs in the UK excluding London

/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In‐depth knowledge of the financial services industry and their IT systems Practical cloud native experience Preferred qualifications, capabilities, and skills Knowledge ...

mentoring or coaching other Product Owners would be highly advantageous. Desirable Experience delivering products across multiple countries or regulatory environments. Exposure to AI or Machine Learning within software products. Strong understanding of product analytics, KPIs and outcome-based product development. Technical awareness of software architecture and modern SaaS ...

GenAI systems: RAG, prompt engineering, LLM integration, and agentic workflows. Cloud and infrastructure knowledge, including deployment, containerization, and CI/CD practices. Understanding of machine learning fundamentals, including model behavior, evaluation and testing. Demonstrated ability to design, deploy, and operate production-grade AI systems with focus on reliability ...

expect from you Experience designing and delivering production-grade analytical Python solutions Experience working with relational databases, and SQL-like operations Understanding of machine learning techniques such as regularised regression, clustering or tree-based ensembles (and experience applying them with packages like Pandas, sci-kit-learn, SciPy ...

quality and compliance frameworks including ISO 9001, ISO 20000 and ISO 27001. Experience supporting software audits, accreditation or certification activities. Exposure to AI, machine learning, data analytics or data-driven software products. Familiarity with DevOps and continuous integration/continuous deployment (CI/CD) practices. Personal Attributes Passionate ...

excludes scientific R&D and drug discovery responsibilities and instead focuses on enabling commercial excellence and supply chain resiliency through advanced analytics, generative AI, machine learning, and intelligent automation. The individual leader will drive enterprise-scale AI adoption focused on operational efficiency, demand forecasting, customer engagement, revenue optimization ...

must have written production grade code in C#, C++ or Python for application development (not web apps or embedded) and an interest in pushing Machine Learning over time.Crucially we are looking for experience with AWS Cloud/Distributed Computing to be considered. Your new role In this role ...

highly digital, engineering-led or organisations. Experience working with Google Cloud Platform (GCP), AWS or other major cloud providers. Experience embedding controls within AI, machine learning or advanced analytics environments. Experience implementing technology-enabled control monitoring and testing solutions. Experience helping organisations modernise legacy technology environments and future ...

Business Intelligence platforms are secure, scalable, reliable, and aligned with business needs. Lead the Business Intelligence modernisation strategy, including cloud adoption, Artificial Intelligence (AI), machine learning, and intelligent automation initiatives. Define and communicate technology roadmaps, recommendations, and business cases for platform improvements. Act as a senior escalation point ...

current agenda. Desirable Demand and Capacity Planning techniques NHS IT systems, and the Epic EPR system Advanced knowledge of supervised and unsupervised machine learning techniques In depth knowledge of performance returns, definitions, guidance, and performance management in the acute sector Understanding of NHS data flows and information issues ...

skills Specialist knowledge and experience of Operational Research modelling techniques Desirable Knowledge and interest areas complementary to Operational Research modelling - e.g. Data Science techniques (Machine Learning and cluster analysis) or Social Research techniques (survey design and evaluation Knowledge of health economics) Masters degree in a numerate subject ...

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 ...

Purview, Entra ID, DLP, or Insider Risk tools Understanding of ISO 27001, Agile ways of working Knowledge of statistics, data science, or AI/ML applied to cybersecurity Relevant certifications (MS-500, AZ-500, SC-series, Security+, GSOC, CCSK) Perks & Benefits Hybrid/remote working options Flexible benefits package Opportunity ...

least 3 years in a technical lead role delivering enterprise-grade process automation. AI Implementation Track Record: Proven experience utilising existing AI/ML technologies to transform business processes and mitigate LLM-specific risks (e.g., prompt injection and data leakage). Leadership Interfacing: Demonstrated experience engaging with Senior Leadership ...

executive audiences Collaborate across globally distributed teams with awareness of time zone considerations and asynchronous work patterns Guide teams in embedding AI/ML features—prompt engineering, model inference, feature pipelines—into platform services Contribute to technical planning, architecture decisions, and incident retrospectives Platform & Product Mindset Apply product thinking ...

initiatives. The role sits within a People Development function, but we're primarily looking for strong technical data engineering experience. Previous exposure to learning, skills or HR data would be beneficial, but is not essential. What you'll be doing - Designing and building scalable data pipelines using Microsoft Fabric. … practices. Excellent communication and stakeholder engagement skills, with the ability to work across technical and business teams. Desirable experience- Experience preparing data for AI, machine learning or advanced analytics use cases. Experience working within a regulated industry. Exposure to learning, skills, HR or competency data. Experience with ...

Learning Engineers for hybrid, fixed-term roles through end of 2027, with potential permanence. You will design, deploy and operate privacy-focused ML systems within a multidisciplinary team, contributing to the CODAS project and related initiatives at AND-E Lab. Ideal candidates have 5+ years in ML/ ...

Core Banking, Business Banking, Wealth, Borrowing, Growth, Payments, Platform, Fincrime, Security & Expansion. All of our collectives are doing innovative work, many of which have machine learning and AI at the forefront—from fighting financial crime to building smarter financial tools—and you may have the opportunity to join … your skills, experience, preferences and aligning with the business need! Our backend engineers have a variety of different backgrounds. As long as you enjoy learning new things, we’d love to talk to you. We do not ask for formal qualifications or degree requirements for any of our engineering ...

ability to read electrical schematics. Demonstrable knowledge and experience of current software engineering practices for Remote and Autonomous Systems. Experience with ROS/ROS2, machine learning and OpenCV is advantageous. Experience of robotics, machine control systems and automation is desirable. Knowledge of CODESYS or similar PLC software … multi-disciplined engineering team. Ability to investigate and interpret data, issues, and situations to make sound decisions in high-stress situations. Appetite for learning new technologies and applications. Ability to communicate complex processes and procedures to colleagues. Self-motivating, proactive and results-driven approach. Collaborative ethos is essential. Personal ...

Senior Machine Learning Scientist to join a multidisciplinary squad focused on combatting financial crime through advanced ML. You’ll collaborate across ML, data science, backend engineering, operations, product and risk to deploy production models that detect suspicious user behaviour while minimising impact on legitimate customers. We value experience … delivering real‐world ML at scale, a self‐starter mindset, and strong communication to explain complex ideas to non‐technical #J-18808-Ljbffr ...

impact role where you'll help shape how AI is designed, built, and deployed across the organisation. You'll work at the intersection of machine learning, software engineering, and real-world business challenges-developing intelligent, scalable solutions that drive efficiency and innovation across our operations. Working closely with … engineering and audit standards Champion scalable, secure, and efficient AI implementation. What We're Looking For Core Skills & Experience Strong experience in AI Engineering, ML/LLM applications, or intelligent automation Solid Java engineering background with production-quality coding practices Experience with CI/CD tools e.g., Jenkins, GitLab ...

Engineer to build the application-level AI capability inside a large-scale AI adoption programme for a central government department. Where the Machine Learning Engineer trains models and the MLOps Engineer runs the platform, you sit closest to the end product: turning LLMs, retrieval systems, and agentic workflows … government or the wider public sector Familiarity with GOV.UK Service Standard expectations Exposure to open-source LLM tooling or communities Familiarity with AI/ML tooling on AWS, Azure, or GCP Location and Working Pattern Hybrid, based from Newcastle upon Tyne, with on-site attendance required for workshops, knowledge-transfer ...

Monzo is seeking a Machine Learning Scientist to join a multidisciplinary squad. You will develop and deploy advanced ML models to detect fraudulent activity while balancing customer experience and cost. The role emphasizes production readiness, experimentation, and business impact. The ideal candidate will own end-to-end ML ...

infrastructure, with scope to take ownership of specific workflows and grow your influence as you do. You'll join a cross‐functional team of machine learning engineers, software engineers, bioinformaticians, drug discovery scientists and clinicians, all working to sharpen how Healx makes better decisions in drug discovery. … company‐wide collaboration and celebration. Family Friendly – Enhanced family leave policies, miscarriage and fertility leave, flexible working practices. Personal Development and Growth – Personal learning and development budgets, regular personal development conversations and career support. Community Engagement and Support – One paid day off per year to volunteer for a cause ...

require all candidates to be willing to attain an eDV clearance. In this area of the business we prove 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 ...