476 to 500 of 1,172 Machine Learning Jobs in the UK excluding London

/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile) Ability to solve data‐oriented problems using technologies such as SQL, Relational DB, Spark, NoSQL, optimizing for performance Preferred Qualifications, Capabilities, and Skills ...

safety‐critical environments. Familiarity with technologies such as: Azure and AWS Docker and Kubernetes Apache Kafka and NiFi Node.js and TypeScript MongoDB AI and Machine Learning technologies Security Requirements Due to the nature of the work, candidates must either hold current UK Security Clearance or be eligible ...

methodologies, including CI/CD, application resiliency, and security Demonstrated proficiency in software applications and technical processes within a technical discipline (cloud, artificial intelligence, machine learning, mobile, etc.) Practical cloud-native experience Proficient in working with SQL and NoSQL databases Preferred Qualifications, Capabilities, and Skills: Experience designing ...

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 ...

/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies ABOUT US J.P. Morgan is a global ...

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 ...

Advanced knowledge of software architecture, applications, and technical processes with considerable in‐depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Ability to tackle design and functionality problems independently with little to no oversight. Ability to evaluate current and emerging ...

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 ...

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 ...

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 ...

/ELT tools and data pipeline frameworks Solid understanding of data modelling, warehousing, and transformation best practices Experience across the data science/ML life cycle from prototype to production Experience working in public sector or regulated environments, with knowledge of GDPR and related standards Strong communication and stakeholder management ...

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 ...

Include Prior experience and knowledge of Barclays or and/or Banking domain knowledge will be preferred. Skills of any programming languages (like ML, AI/GenAI, Shell, Java, Python, Json or any other) will be preferred. This role will be based in Glasgow. Purpose of the role To apply ...

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 ...

Consultant in Bristol to lead the design and delivery of AI solutions for real-world business challenges. You will drive projects across traditional machine learning and Gen AI, collaborating with data engineers and client stakeholders. The ideal candidate has 5+ years of experience in AI and data science ...

title: AI/ML Engineer Location: Romsey, Hampshire/Hybrid (2 days per week on site) Salary: £65,000 plus 6% bonus Candidates must be willing and eligible to go through SC security clearance. Build AI that solves problems others can't within Defence, National Security & Intelligence …/ML Engineer, Research Engineer or Applied Scientist who wants to work on genuinely complex, technically challenging problems? This is an opportunity to join a leading technology and engineering business working across National Security, Defence, Intelligence and Commercial markets, where you'll be doing far more than simply implementing existing ...

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/ ...

Barclays is seeking an Integrated Financial Crime Machine Learning Engineer in Glasgow to design, develop, and deploy ML models that support scalable financial crime detection across the bank. You will contribute across the full model lifecycle, from design to deployment, aligning solutions to strategic priorities while improving robustness … performance. The role emphasizes strong ML, Python, and Databricks experience, with a focus on risk management and control frameworks within Barclays’ #J-18808-Ljbffr ...

quality, and resilience patterns are consistently applied across services. People Leadership Lead and mentor a team of SRE engineers, fostering a culture of ownership, learning, and engineering excellence. Drive career development, performance management, and technical capability growth across the team. Collaborate with HR and Talent teams to build local … managing cloud‐native services on Azure and AWS, including: Azure SQL, Cosmos DB, Application Gateway, Key Vault, Storage, DNS, Load Balancer, Virtual Machines, Azure Machine Learning, Sentinel AWS Lambda, ECS, RDS, CloudWatch Strong understanding of SRE principles (SLOs, SLIs, error budgets, incident response). Hands‐on experience with ...

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 ...

aspect of the premium calculation; understand how RADAR and rate changes in RADAR work Stay abreast of the latest advancements in data science and machine learning, identify opportunities to incorporate new technologies and methodologies into the team's work Promote a culture of continuous learning, encourage ...

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 ...