551 to 575 of 2,066 Machine Learning Jobs in the UK

scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Minimum qualifications: Bachelor's degree in Computer Science, Machine … anomaly detection systems at scale, taking safety defenses or mitigations from research concepts to scalable production systems. Experience collaborating on or leading applied ML projects, including LLM training, inference, and fine-tuning. Experience using AI coding agents with strong architectural judgement, and with TPUs and JAX. Background in adversarial machine ...

scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Minimum qualifications: Bachelor's degree in Computer Science, Machine … anomaly detection systems at scale, taking safety defenses or mitigations from research concepts to scalable production systems. Experience collaborating on or leading applied ML projects, including LLM training, inference, and fine-tuning. Experience using AI coding agents with strong architectural judgement, and with TPUs and JAX. Background in adversarial machine ...

Build your core technical skills through hands-on experience and team support Deliver data science projects that involve the development, assessment and deployment of machine learning models and writing of high-quality code Learn and apply open-source tools and technology, alongside WTW's own proprietary insurance technology … solutions, used widely by the insurance market Grow through structured early-career training and ongoing learning from subject matter experts in the team This is the perfect opportunity to understand what you could expect if you joined our graduate programme the following year. We have many examples ...

delivery partners, identifying risks and opportunities for improvementChampion engineering excellence across code quality, testing, continuous delivery, security, observability and platform reliabilityCollaborate closely with AI, Machine Learning, Product, Infrastructure and DevOps teams to deliver integrated platform capabilities and share knowledge across the engineering organisationWe tend to look for people … partners, vendors or systems integratorsStrong communication and collaboration skills, with the ability to influence technical decisions across teamsExperience building or contributing to AI and Machine Learning platformsExperience integrating large language models, speech technologies or multimodal AI solutions into production environmentsFamiliarity with AI orchestration frameworks, intelligent workflows and emerging ...

role, you will work with extensive datasets develop models that determine odds and power in-play betting decisions while leveraging state-of-the-art machine learning techniques to analyse and interpret complex sports data. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation. … related quantitative field. Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding ...

experienced validators; prior work in credit, counterparty or market risk is helpful context rather than a prerequisite Relevant professional or research experience spanning AI, machine learning, quantitative analytics, software engineering, model risk management or related disciplines, we prioritize demonstrated, practical skill with advanced AI and agentic systems over … audiences, with strong written and spoken English Education A strong academic background in a technical or quantitative field such as computer science, artificial intelligence, machine learning, mathematics, physics or engineering, with a preference for candidates holding a post-graduate degree. Demonstrated, applied agentic AI capability is weighted alongside ...

some of the UK's largest and most recognised organisations, you will help design and deliver enterprise-scale data platforms to enabling advanced analytics, machine learning and AI-driven decision making. You will join a growing team of highly skilled engineers building modern data solutions using the Databricks … ready data foundations. This role offers exposure to large-scale transformation programmes, cutting-edge technologies and a collaborative environment that encourages continuous learning, innovation and career progression. Key Responsibilities Design, build and deploy scalable data pipelines using Databricks. Deliver solutions across the full engineering lifecycle, from gathering requirements ...

code quality. QualificationsWe are fully aware that it is uncommon for a candidate to have all skills required and we fully support everyone in learning new skills with us. So if you have some of those listed below and are eager to learn more we do want to hear … experience with Spring framework and deep understanding of JDBC and database internals. Experience with CI/CD pipelines and Distributed and Concurrent SystemsExperience with machine learning basics (data pipelines, feature engineering, recall/precision, familiarity with machine learning systems in production) is a huge plusExperience working ...

expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial … will have the opportunity to create a more cohesive, integrated, and managed GenAI development life cycle to enable the building and maintenance of our ML systems. Our teams make extensive use of open source technologies such as Kubernetes, KServe, MCP, Envoy AI Gateway, Buildpacks and other cloud-native and GenAI ...

together data from AML, KYC, transaction monitoring, screening, CRM and other operational systems. AI and automation: Build reliable, well-governed datasets that support future machine learning, anomaly detection, alert optimisation and investigation automation. What I'm looking forThe most important requirement is someone with genuine technical depth across … data. Integrating financial crime platforms, CRM systems and third-party vendor APIs. Data Vault, dimensional modelling or complex entity resolution. Building data foundations for machine learning, anomaly detection or GenAI applications. Experience with Azure Data Factory, Airflow or similar orchestration technologies. Why consider it? This is an opportunity ...

background, proven leadership capability and the ability to deliver innovative AI solutions at scale. About You * 10+ years' experience in Software Engineering, Data Science, Machine Learning Engineering or a related technical discipline. * 5+ years leading high-performing engineering teams. * Experience delivering enterprise software, AI or SaaS solutions into … list for this role. Keywords: Head of AI Engineering, Head of Engineering, Director of Engineering, AI Engineering, Agentic AI, AI Agents, Generative AI, LLMs, Machine Learning, Data Science, Platform Engineering, LangGraph, LangChain, Semantic Kernel, CrewAI, OpenAI Agents, Microsoft Copilot Studio, MCP, MLOps, RAG, SaaS, Cambridge. ...

+ excellent benefitsRequirements for Senior Security Researcher - AI & Cybersecurity: Strong academic background, ideally including a Master's or PhD in Cybersecurity, Computer Science, AI, Machine Learning or a closely related subjectStrong knowledge of cybersecurity and attacker techniquesGood understanding of networking and network securityKnowledge of generative … Security/Endpoint Security/Security Tools/Threat Intelligence/Prompt Injection/Adversarial AI/CCNA/Linux Essentials/SOC/Machine Learning/Artificial Intelligence/Computer Science/Cybersecurity RedTech Recruitment Ltd focus on finding roles for Engineers and Scientists. Even ...

excellent benefits Requirements for Senior Security Researcher - AI & Cybersecurity: Strong academic background, ideally including a Master's or PhD in Cybersecurity, Computer Science, AI, Machine Learning or a closely related subject Strong knowledge of cybersecurity and attacker techniques Good understanding of networking and network security Knowledge of generative … Security/Endpoint Security/Security Tools/Threat Intelligence/Prompt Injection/Adversarial AI/CCNA/Linux Essentials/SOC/Machine Learning/Artificial Intelligence/Computer Science/Cybersecurity RedTech Recruitment Ltd focus on finding roles for Engineers and Scientists. Even ...

world's most pressing health issues, we'd love to have you on our team. As a Senior Product Manager, AI/ML at GSK, you'll be at the forefront of our innovative journey, leading the end-to-end development of AI-driven products that will shape the future … demands of tomorrow. You'll be responsible for every stage of the product lifecycle-from ideation to launch-ensuring that our AI/ML platforms are not only cutting-edge but also aligned with GSK's broader delivery strategy. You'll work closely with senior leaders, leveraging your deep understanding ...

when needed. - Experience with hardware devices or sensors. Any experience with embedded systems, mobile OS or computer networking would be beneficial. - Experience with deep-learning frameworks (TensorFlow or PyTorch) would be desirable. - Exposure to computational statistics, algorithm development or machine learning optimisation would be a bonus. … develop your skills and knowledge with like-minded engineers. Keywords : Python, PyTorch, TensorFlow, Sensors, Embedded Systems, Hardware Interface, Mobile OS, Algorithms, Statistics, Machine Learning, Defence, Security Clearance, Start Up Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right ...

will collaborate closely with cross-functional teams, including engineering, product, analytics, operations and risk management. Key Responsibilities: Lead the development and deployment of machine learning models and data science solutions to improve Receive product performance across different Wise marketsAnalyse large volumes of customer, transaction and product data … science solutionsDevelop robust data pipelines, algorithms and tools to support production-grade modelling and decision-makingStay informed about the latest advancements in data science, machine learning, and payment fraud prevention techniques to ensure state-of-the-art capabilities in the Spend domainA bit about you: Proven track record ...

agile development methodologies. Day to day the Data Engineer will: Work alongside the Risk and Analytics team to create and implement machine learning risk models and large scale data projects from inception to productionBuild high quality datasets from raw data using some of the latest tools and technologiesBuild … embed defined data models and data flows to the cloudDrive large batch, streaming and machine learning applications from design to productionContribute to the design, implementation and monitoring of our cloud data platform as well as innovative ways to ingest, process, store and analyse various data sourcesContribute to automation ...

role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, FPGA, Python, Javascript, C#, Electronics, Secure Boot, Power Electronics, Digital Design, Machine Learning, Data Science or Simulation, contact us today. Tagged as: C++, Control Systems, Electrical, Machine Learning, Python ...

real-world problem solving. This is an opportunity to tackle complex, high-impact challenges for major public and private sector organisations, using mathematics, machine learning and advanced analytics to turn data into decisions that make a difference. Importantly, this is about more than delivering projects. You'll also … growth, develop new client relationships and identify fresh opportunities to bring its expertise to market. The opportunity Tackle complex client challenges using mathematical modelling, machine learning and advanced analytics. Own the full analytical lifecycle, from exploratory analysis and model development through to testing, delivery and handover. Translate business ...

Trading Operations and Performance Analysis with AIManage the end-to-end lifecycle of trades across multi-asset classes. Develop agentic AI workflows using Python (ML) and MLOps tools to automate manual operations and reconciliationsPerform daily P&L attribution and explain variance by decomposing market moves, Greeks, and new activity. Leverage …/ML frameworks (e.g., OpenAI API, LangChain, or local LLMs) to build intelligent agents for anomaly detection in trade data and automated commentary generation for P&L reports. Ensure data integrity across trading systems, middle-office platforms, and downstream finance ledgers. Use AI tools to build reporting and analyses ...

large-scale consumer credit and credit bureau datasets to assess modeling suitability, identify data patterns, develop variables, and support scoring solutions. Apply statistical modeling, machine learning, pattern recognition, and performance inference techniques to identify effective modeling approaches and improve model performance. Anticipate, investigate, and resolve data, modeling … Earn the Respect of Others. The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences. Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so. An engaging ...

scientific developments, emerging technologies and international best practice. Support engagement with other AI-focused programmes and regulatory sandboxes across the MHRA to encourage consistency, learning and knowledge sharing. Work closely with communications and stakeholder engagement colleagues to support dissemination of programme findings and outputs. Deputise for the Head … MHRA values and Civil Service behaviours, promoting an ethical, positive and inclusive working environment. Proactively maintain and develop professional knowledge and expertise, sharing learning and best practice with colleagues. Demonstrate flexibility and adaptability in response to emerging technologies, scientific developments and changing business needs. Person Specification Experience Essential Significant ...

exciting early stage of growth. The role Our client is hiring an AI Engineer to design and build the embedded software, data pipelines and machine learning systems behind their sensing and communications technology. You will take ideas from a clean sheet through to efficient, tested code running … embedded software in C and C++ for microelectronics, sensors and other subsystems. Implement and optimise communication protocols. Build automated CI/CD pipelines for machine learning, manage model versioning, and monitor live models for data drift and performance degradation. Develop generative AI and large language model (LLM) systems ...

team, you'll be building and maintaining the data science, MLOps, and deployment tooling that empowers our team of over 100 Data Scientists and Machine Learning Engineers. You will encourage engineering best practices, research new technologies, design and build new infrastructure and promote ways of working that enables … transition from complex exploration to full-stack, production-grade machine learning products. What you'll be doing: Taking ownership of our existing deployment and MLOps tooling to ensure our software delivery remains a significant lever for quality and reliability. Contributing to the continuous evolution of our technology stack ...

join our AML Risk team in London. This role is a unique opportunity to work on building out the lead Data Science team and machine learning based technical solutions in the AML Risk team, which owns AML detection across all of the Wise licenses. This is an exciting … customers. About the Role: In the Anti-Money Laundering (AML) Risk team we are developing systems which are a mixture of unsupervised and supervised learning, with GenAI to detect and mitigate Financial Crime on a global scale. You will be making sure the AML Risk Data Science team ...