1,076 to 1,100 of 1,620 Machine Learning Jobs in the UK

happening. What Makes Us Different: 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 change. Collaboration: having flexibility to More ❯

Drive significant organizational and technological change, re-imagining how Operations delivers products and solutions. Cutting-Edge Technology: Work at the forefront of platform renovation, cloud adoption, AI, NLP, and machine learning within a secure and compliant environment. Global Exposure: Operate within a dynamic, global organization, influencing processes and strategy across the industry. People & Culture Focus: Be part of More ❯

cloud. AWS has been continually expanding its services to support virtually any workload, and it now has more than 240 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, media, and application development, deployment, and management from 105 Availability Zones within 33 geographic regions, with More ❯

Design and optimize end-to-end AI pipelines, from data engineering to model training and deployment. Stay updated on emerging AI technologies and integrate them with existing AI/ML frameworks for innovative solutions. Collaborate with cross-functional teams to architect and build AI-powered full-stack applications, ensuring efficiency, security, and usability. More ❯

Strong strategic mindset and stakeholder collaboration skills Excellent management capability Strong commercial ability 7+ years in data/AI roles, with 5+ years in leadership Ability with Python, SQL, ML frameworks (TensorFlow, PyTorch) Deep knowledge of LLMs, forecasting, and modern data stacks Background in data insights, media or trend forecasting is a bonus Why apply? You'll join a high More ❯

Global Trading firm Role Summary: Lead enterprise data strategy and architecture. Own and manage an Enterprise data management - Azure-native data platform architecture, governance frameworks, and drive AI/ML adoption across the business. The ideal candidate is an extensive hands-on architect with high-regulated data architect lifecycle experience covering data lakes, data warehouses, from concept to deployment and More ❯

working in air-gapped or secure environments, or at minimum, a clear grasp of the constraints and workarounds involved * Comfort designing APIs for real-time and batch AI/ML pipelines. * Experience supporting or building graph-based systems (e.g., for RAG or knowledge graph traversal) is a plus Experience working with LLMs, vector stores, or transcription pipelines Experience in Defence More ❯

governance frameworks. - Educate stakeholders on emerging AI risks and mitigation strategies. What You Bring: To thrive in this role, you should have: A strong technical background in AI/ML systems with experience embedding security and compliance. Expert-level knowledge of Microsoft Purview. Familiarity with AI governance frameworks (e.g., NIST AI RMF, ISO/IEC 42001). Hands-on experience More ❯

governance frameworks. - Educate stakeholders on emerging AI risks and mitigation strategies. What You Bring: To thrive in this role, you should have: A strong technical background in AI/ML systems with experience embedding security and compliance. Expert-level knowledge of Microsoft Purview. Familiarity with AI governance frameworks (e.g., NIST AI RMF, ISO/IEC 42001). Hands-on experience More ❯

first development models, tooling, and productivity frameworks. To be a good fit for the Head of AI Enablement role, you will have: 5+ years of experience in AI/ML engineering, developer tooling, or AI-first product environments Proven experience deploying LLM agents and tools into real-world engineering or product organizations Deep expertise with modern AI ecosystems, including: LangChain More ❯

first development models, tooling, and productivity frameworks. To be a good fit for the Head of AI Enablement role, you will have: 5+ years of experience in AI/ML engineering, developer tooling, or AI-first product environments Proven experience deploying LLM agents and tools into real-world engineering or product organizations Deep expertise with modern AI ecosystems, including: LangChain More ❯

of performance and innovation across departments like HR, Finance, and Engineering. The Player You bring a proven track record of leading AI initiatives at scale, with deep knowledge of ML, generative AI, and data-driven strategy. You’re equally comfortable presenting to the C-suite and mentoring technical teams. Your strength lies in turning vision into impact—translating complex AI More ❯

of performance and innovation across departments like HR, Finance, and Engineering. The Player You bring a proven track record of leading AI initiatives at scale, with deep knowledge of ML, generative AI, and data-driven strategy. You’re equally comfortable presenting to the C-suite and mentoring technical teams. Your strength lies in turning vision into impact—translating complex AI More ❯

of performance and innovation across departments like HR, Finance, and Engineering. The Player You bring a proven track record of leading AI initiatives at scale, with deep knowledge of ML, generative AI, and data-driven strategy. You’re equally comfortable presenting to the C-suite and mentoring technical teams. Your strength lies in turning vision into impact—translating complex AI More ❯

of performance and innovation across departments like HR, Finance, and Engineering. The Player You bring a proven track record of leading AI initiatives at scale, with deep knowledge of ML, generative AI, and data-driven strategy. You’re equally comfortable presenting to the C-suite and mentoring technical teams. Your strength lies in turning vision into impact—translating complex AI More ❯

of performance and innovation across departments like HR, Finance, and Engineering. The Player You bring a proven track record of leading AI initiatives at scale, with deep knowledge of ML, generative AI, and data-driven strategy. You’re equally comfortable presenting to the C-suite and mentoring technical teams. Your strength lies in turning vision into impact—translating complex AI More ❯

in Python is also beneficial Knowledge of data warehousing, ETL systems and modern equivalents like DBT Experience working with business intelligence software (Looker, Tableau etc.) Experience and interest in ML/AI is beneficial Proven track record of communication with internal stakeholders to drive meaningful action from data An ability to independently structure and formulate solutions to business problems and More ❯

and flexibility; you are hardworking with a real passion for enabling others to succeed. "Nice To Have": Experience in Cybersecurity technology projects (Plus!). Experience in the development of ML/AI applications using state-of-the-art toolchains, i.e. Pytorch, TensorFlow (Plus!). Experience with HW and SW Architecture Modelling. Model-Based System Engineering, ISO 15288, MagicGrid Framework, SysML More ❯

Proficient in operating within an ITIL environment. Skilled in applying continuous engineering and agile methodologies to manage frequent changes and reduce complexity. Adept at leveraging automation and AI/ML to drive continuous improvement. Technical Skills: The candidate is expected to have a proven track record in the use of EUC and Windows Desktop technologies. Recent experience and certifications of More ❯

systems experience - Proficient programming skills in C or C++ - Demonstrated experience developing AI solutions for embedded systems PREFERRED QUALIFICATIONS - Bachelor's degree in computer science or equivalent - Experience with machine learning and AI model development - Experience with computer vision and deep learning frameworks - Understanding of cloud service architectures - Degree in Computer Science or related technical field - Ability More ❯

manage Kubernetes-based infrastructure tailored for portable, classified environments * Build deployment pipelines to support rapid iteration under security constraints * Collaborate on the packaging and downscaling of backend services and ML components for deployment to unknown or low-resource hardware (potentially without GPU access) * Setting up internal service meshes, secure logging, and monitoring pipelines * Manage self-hosted model infrastructure (LLMs, transcription … machine learning workloads, including LLMs or transcription models * Comfort adapting existing infrastructure to new compliance regimes * Bonus: Familiarity with Kafka and message-based orchestration for AI/ML pipelines Due to the nature and urgency of this post, candidates holding or who have held high level security clearance in the past are most welcome to apply. Please note More ❯

knowledge content, aiming to improve customer satisfaction and reduce inquiries Maintain content standards for consistency, accuracy, and relevance across all knowledge materials Advance self-care solutions through AI and machine learning, integrating knowledge content with technical applications Measure the impact of knowledge management initiatives, adjusting strategies based on performance metrics and customer feedback Promote a culture of continuous … learning and improvement, fostering innovation within the team and department What we're looking for: Bachelor's degree in communications, marketing, or related field 3+ years of experience in communication or marketing role Strong written and verbal communication skills in English Ability to manage multiple projects simultaneously and meet deadlines Understanding of customer success principles and strategies Ability to More ❯

Partner with the CTO to define and execute the engineering strategy. Lead and mentor Engineering Managers and senior technical leaders across multiple domains. Identify and implement opportunities in AI, machine learning, and predictive analytics. Oversee the expansion and integration of offshore development teams and delivery partners. Advance Agile ways of working to improve quality, consistency, and delivery confidence. … delivery processes. Set standards for technical excellence, including architecture, testing, and release governance. Lead major strategic initiatives including platform re-architecture and tooling modernisation. Foster a culture of continuous learning, professional development, and staff engagement. What Were Looking For Proven experience as a senior, hands-off engineering leader within large-scale or high-availability environments. Strong background in Agile … Experience working closely with C-level stakeholders, especially CTOs or CIOs. Deep understanding of modern software architecture and DevSecOps principles. Exposure to, or a strong interest in, AI/ML technologies and their business application. Ability to scale and integrate offshore engineering teams and delivery partners. Track record of building and retaining high-performing, motivated technical teams. Why Join My More ❯

Science team serves as the core science division of JP Store Tech, with the vision to enable and accelerate the best-in-class CX through state-of-the-art machine learning technologies. This team owns the science vision definition, science roadmap planning, and science solution delivery in key business areas in Japan including Search, Customer Growth and Engagement … will design, implement and deliver models on Amazon site, helping millions of customers every day to find quickly what they are looking for. You will propose innovation to build ML models trained on terabytes of product and traffic data, which are evaluated using both offline metrics as well as online metrics from A/B testing. You will then integrate … Working with teams worldwide on global projects. BASIC QUALIFICATIONS - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of More ❯

governance insights. Staying well informed of the details of evaluations across domains in AISI and the state of the art in frontier AI evaluations research more broadly, including attending ML conferences. Write and edit scientific reports, internal memos, and other materials that synthesise results into actionable guidance. Person Specification We're flexible on the exact profile and expect successful candidates … many (but not necessarily all) of the criteria below. Depending on experience, we will consider candidates at either the RS or Senior RS level. Strong track record in applied ML, evaluation science, or equivalent experimental sciences with fraught methodological challenges. Ideally including multiple publications, projects, or real-world deployments (e.g. PhD in a technical field and/or spotlight papers … talent allowance of £76,230 This role sits outside of the DDaT pay framework given the scope of this role requires in depth technical expertise in frontier AI safety, machine learning, and empirical research experience. There are a range of pension options available which can be found through the Civil Service website. The Department for Science, Innovation and More ❯