2,076 to 2,100 of 6,363 Machine Learning Jobs in the UK

caring and safe environment for all teammates to succeed.Preferred/Nice-to-Have Skills* Experience designing large-scale data platforms* Experience designing AI and machine learning platforms* Experience designing container platforms#LI-ME1**Requisite Skills****Additional Skills***Barings is an Equal Employment Opportunity employer; Minority/Female/ ...

expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection … transferred to another Incident Lead What You Will Bring 5+ years of experience leading incident response investigations involving ransomware Experience leading BEC investigations Continuously learning and staying informed of the changing threat landscape Proven track record of successful neutralization and remediation of ransomware threats Excellent understanding of the Incident ...

related field. Experience with cloud technologies such as architecting, developing, or maintaining cloud solutions in virtualized environments or cloud data engineering. Experience using Machine Learning and building solutions. Experience in an investigative role such as business intelligence, data analytics, or statistics. About The Job At gTech’s Users ...

projects, delivering results in a fast‐paced environment. Experience with observability, performance optimization, and production incident response. Bachelor's degree in Computer Science, AI, Machine Learning, or a related technical field (or equivalent practical experience). Preferred Qualifications Direct experience building a Coding Agent or similar developer‐facing ...

organisation improve how data is structured, governed, integrated and delivered. The environment includes Databricks, cloud technologies, data lakes, analytics, reporting and emerging AI and machine-learning products. Your responsibilities will include: Defining and evolving data architecture principles, standards and technical roadmaps Designing conceptual, logical and physical data models ...

behavior trees, and decision-making under uncertainty Expertise in path planning algorithms such as A*, D*, and Rapidly-exploring Random Trees (RRT) Knowledge of machine learning techniques, especially in the context of behavior prediction and planning Experience with ROS/ROS2 Implementing systems that can re-plan ...

methodologies, including CI/CD, application resiliency, and security. Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, AI, machine learning, mobile). Ability to solve data‐oriented problems using technologies such as SQL, relational databases, Spark, and NoSQL. Preferred Qualifications, Capabilities ...

mobile application, backend service, AWS infrastructure, and Kubernetes deployment configuration. We connect on‐property hospitality operations with the broader Cloudbeds platform, balancing fast product learning with the reliability required for a system used at the moment of service. You'll join a pragmatic, collaborative team that values ownership, thoughtful … tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold – we're coding it, designing it, writing ...

product strategy and roadmap for IT & Cyber Risk, aligning to company objectives and broader platform direction. Design and deliver AI-powered features (LLMs, agents, ML models) that automate risk identification, assessment, and reporting for enterprise security and risk teams. Partner with engineering, data science, and design to define technical approaches … working closely with CISOs, security, or risk functions. Hands‐on experience shaping or building AI‐powered product features (for example using LLMs, agents, or ML models) and understanding how they work in practice. Confidence partnering with engineering and data science on technical design trade‐offs and feasibility. Strong communication ...

Advanced knowledge of software 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 oversightPractical cloud native experience Experience in Computer Science, Computer ...

commerce environments Data pipelines or operational data models Modern data tooling or orchestration platforms Experimentation or A/B testing platforms Exposure to machine learning workflows or analytics platforms About Arrive Arrive, including brands like EasyPark, Flowbird, RingGo, ParkMobile and Parkopedia, is a leading global mobility platform. Present ...

Work directly with customers to shape requirements and translate them into working software. Integrate Azure AI services such as Azure OpenAI, Cognitive Services, Azure ML and AI Search. Provide technical leadership, ensuring engineering rigour, code quality and best practice. Support pre-sales activity through prototyping, research and proof-of-concept …/testing approaches. Experience mentoring or leading small development teams. Why Candidates Are Attracted to This Environment The organisation offers strong development culture, structured learning pathways, competitive salary progression, generous leave, wellbeing support, health cash plans, volunteering days, life assurance, EV and tech schemes, retail discounts, onsite gyms (where ...

related field. Salesforce Data Architecture & Management certification or equivalent. Experience using Python for data analysis, automation or process improvement. Knowledge of AI and machine learning applications within CRM and customer analytics. Experience within customer-focused B2B or B2C environments. French language skills Person Specification Strong understanding ...

related field. Salesforce Data Architecture & Management certification or equivalent. Experience using Python for data analysis, automation or process improvement. Knowledge of AI and machine learning applications within CRM and customer analytics. Experience within customer-focused B2B or B2C environments. French language skills Person Specification Strong understanding ...

cloud infrastructure. Proficiency in Python and/or another general‐purpose language, with strong testing discipline Hands‐on experience building with LLMs or other ML systems (prompt engineering, fine‐tuning, retrieval, model integration), with an understanding of their failure modes and tradeoffs. Proven experience designing and leading evaluation …/ML systems: defining metrics and methodology, building evaluation pipelines, managing test sets, and reasoning rigorously about model quality and regressions. Strong command of evaluation concepts — various types of metrics (accuracy, precision, recall, F1), the distinction and tradeoffs between automated and human evaluation, statistical significance, and the limits of each ...

scalable, robust services in production environments, not just prototypes.* Hands-on experience working with Large Language Models (LLMs), Generative AI and modern AI/ML frameworks; current on the AI tooling landscape and able to keep up as it evolves.* Expertise in Python in AI/ML frameworks and libraries. … Demonstrated ability to understand and engage with a complex business domain — capable of sitting with non-technical professionals, learning how they work, and translating that understanding into production tools. Prior exposure to financial markets, broking, trading or other front-office environments is a strong plus.* Experience managing technical priorities ...

intelligent automation solutions—from discovery through to delivery and optimisation. Technical & Domain Expertise Hands‐on experience with Intelligent Automation technologies (e.g., RPA, AI/ML, NLP, IDP). Knowledge of on‐premise and cloud architectures. Understanding of business analysis methods such as BPMN and DMN. Awareness of RTA legislation … automation within sustainability topics. Experience developing technical capabilities within teams Design solutions across IDP, NLP, ML, RPA, workflow orchestration, and low‐code platforms. Assess client automation maturity and shape strategic roadmaps. Create compelling G2M materials and C‐Suite‐level packs, alongside detailed solution architecture. Technical Tools & Platforms Experience with ...

following structured branching, pull request, and code review workflows. Familiarity with or a strong interest in the application of AI and agentic frameworks, and machine learning principles to generate conversational analytics, predictive and advanced marketing insights. Comfortable working in modern cloud data environments (e.g., Snowflake, BigQuery, Databricks, Fabric … solutions. Leadership and mentorship: Proven experience in coaching and mentoring junior team members. You actively foster a culture of technical excellence, collaboration, and continuous learning within the team. Autonomy and critical thinking: You are a self-starter who can think critically, identify issues and opportunities autonomously, and take ...

.Excellent communication and collaboration skills, combined with a growth mindset and focus on delivering user and business value. Nice to Have: Understanding of basic machine learning concepts and experience building data pipelines. Mentorship experience, helping team members grow and contributing to a culture of continuous learning. Additional InformationInterested ...

demonstrated history of success with technical solutions in the enterprise market, preferably in the Business Intelligence, Data Warehousing, Data Engineering, Analytics, or AI/ML space. The successful candidate will have a strong understanding of how technology can solve business challenges, possess a consultative approach, and value teamwork while being … company success Manage multiple customer engagements simultaneously while maintaining a high bar for responsiveness, quality, and execution Work as a team player by continually learning, sharing knowledge, and contributing to best practices across the Solutions Engineering organization Be self‐motivated, flexible, and proactive in a fast‐paced and evolving ...

strong enablement mindset: you enjoy creating standards, reusable solutions, documentation, and automation that help engineering teams move faster andmore safely. Bonus Points Experience using machine learning, heuristic analysis, or AI-assisted techniques to analyze logs, detect anomalies, spot trends, and support proactive troubleshooting. Experience building internal developer platforms ...

advance your career in a high‐impact, innovative environment, we want to hear from you! At Lockheed Martin, we provide meaningful work and continuous learning opportunities that will help develop your skills and progress your career. We believe in supporting a healthy work‐life balance, offering flexible work schedules … lifecycle of an application, implementing test harnesses and simulations for effective system verification and validation. Innovation – Embrace the use of the latest AI/ML tooling and hybrid cloud compute environments to deliver results that continually outpace and challenge the status quo. Collaboration & Reporting – Use Agile principles and strong communication ...

someone who has simply experimented with ChatGPT or integrated an LLM API. You may have a background as an AI Engineer, Generative AI Engineer, Machine Learning Engineer, Software Engineer or AI Solutions Engineer, but you will have developed a strong practical understanding of modern Agentic AI. You should ...

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity ...

operationalization. Ensure business value realization and organizational adoption following implementation. Champion the selection of the right analytical approach (e.g., diagnostic analysis, predictive modelling, machine learning, AI automation) to solve each business problem, ensuring solutions are fit-for-purpose and add tangible value (e.g., improved loss ratio, enhanced customer … compelling business stories and actionable recommendations. Change & Innovation Driver: Demonstrated ability to introduce new tools, methods, or technologies and drive adoption. Passion for continuous learning and keeping up-to-date with the latest advancements in data, analytics, and AI. Comfortable leading a team through change, fostering innovation while managing ...