2,976 to 3,000 of 3,331 Machine Learning Jobs in the UK

power grid against a hurricane or thunderstorm before the clouds even gather. That is the reality we are creating at Neara. We use advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents, this helps asset owners understand their biggest challenges … future. Our team is a collection of brilliant minds who are fanatical about making a tangible difference in the real world, utilising AI and machine learning to accelerate everything from data classification to complex scenario analysis. We have built a special culture where innovation thrives because everyone owns ...

Chief Digital, Innovation and Data Officers to shape the AI agenda. Translate stakeholder conversations into commercial propositions. Sell data, API, SaaS or AI/ML products into large enterprises, demonstrating direct experience of API and data‐product sales cycles. Qualifications Significant experience in enterprise pre‐sales, solutions consulting, solutions engineering … technical account management. Strong track record selling data, API, SaaS or AI/ML products into large enterprises. Direct experience of API and data‐product sales cycles. Benefits 25 days of holiday per year – option to buy/sell up to 5 days. Pension, Life Assurance and Income Protection. Flexible ...

innovation. Job Summary We are looking for a Principal Architect to define and drive the architectural vision of the software stack for the Graphcore ML accelerator. In this role, you will shape the architecture of our software ecosystem and maintain a deep understanding of the product’s hardware and software … outcomes. The Team The software architecture team is responsible for defining, maintaining and communicating the overarching architecture of our software stack, from firmware to ML frameworks. The team works within the wider software organisation, partnering closely with engineering teams who deliver against this architectural vision. Responsibilities and Duties Define & document ...

reason across robotics or autonomous driving systems without losing sight of practical implementation. You understand how complex products come together across hardware, software, ML, safety, and vehicle integration, and you can turn that understanding into crisp architecture and actionable decisions. You are comfortable working across domain boundaries, aligning different internal … solving, bring‐up discussions, and integration trade‐offs in practice Desirable Experience with robotaxi, L4, or eyes‐off autonomous systems Experience with AI or ML‐based driving systems Experience with functional safety, SOTIF, or fail‐operational system concepts Familiarity with automotive middleware, QNX, Linux, and embedded platform integration Experience with ...

position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Director - Machine Learning based in the United Kingdom. This role offers the opportun... Jobgether AI Product Designer This position is listed on behalf ...

concepts; Team player excited at the idea of ownership across lots of different projects and tools; Passion for driving towards Net Zero; Experience with Machine Learning is essential; Experience in the electricity industry in GB would be useful but not required. #J-18808-Ljbffr ...

looking for a number of experience Data professionals to join them 5+ years’ experience in Data Engineering Experience designing scalable data pipelines for machine learning workloads Experience implementing orchestration tools such as Apache Airflow or equivalent. Knowledge of data modelling, dimensional modelling and data warehousing principles. Whether ...

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. ...

collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world’s largest brands Qualification path No previous professional experience is required to apply to this role … open book qualification exam that will determine your suitability for the position and complete ID verification. Our team will provide you with guidelines and learning materials before your qualification exam. You will be required to complete the exam in a specific timeframe but at your convenience. Equal Opportunity ...

5+ years' experience in Data Engineering Extensive databricks data engineering experience Extensive experience building cloud-native data platforms Experience designing scalable data pipelines for machine learning workloads Experience implementing orchestration tools such as Apache Airflow or equivalent. Knowledge of data modelling, dimensional modelling and data warehousing principles. Whether ...

5+ years' experience in Data Engineering Extensive experience with both Terraform and Terragrunt deploying data platforms (preferably Databricks Experience designing scalable data pipelines for machine learning workloads Experience implementing orchestration tools such as Apache Airflow or equivalent. Knowledge of data modelling, dimensional modelling and data warehousing principles Whether ...

must have one of the following current AWS certifications: AWS Certified DevOps Engineer - Professional level AWS Certified Solutions Architect - Professional level AWS Certified Machine Learning - Specialty level AWS Certified Advanced Networking - Specialty level AWS Certified Security - Specialty level Perks Guaranteed base fee Fully flexible variable working hours based ...

roadmap aligned to business objectives and growth ambitions. Design, build, and deploy AI proof-of-concepts and pilot solutions, including generative AI, automation, and machine learning use cases. Gather stakeholder feedback, measure impact, and support adoption through change management and best-practice guidance. Requirements Proven experience developing ...

influence over technical direction from day one and work directly with experienced second-time founders. Core skills and experience required Strong background in reinforcement learning Hands-on post-training experience: RLHF, GRPO etc Experience designing or building RL environments grounded in real-world workflows Distributed training at scale Python … tier AI lab or company A blend of theoretical depth mixed with the ability to ship production systems Publications at top ML conferences, nice to have If you have worked on RL at a top lab or have production RL experience and want to push beyond the current RL paradigms ...

insurance plansUnbeatable retirement savings solutions heavily backed by corporate matchingGenerous untracked vacation time ensuring ultimate psychological recovery and balanceImmense corporate support for mastering emerging machine learning/AI workflows##### What happens after you apply Our recruitment team will call you up for initial screening within 3 working days. ...

support the founders of an ambitious organisation conducting advanced scientific research into artificial intelligence. Its multidisciplinary team brings together expertise across computer science, machine learning, psychology, neuroscience and physics, united by a mission to deepen our understanding of intelligence and ensure that the world benefits from AI. This … ownership of both senior executive support and practical office requirements Discreet when handling confidential personal, employee and business information Curious about AI and comfortable learning new technology Motivated by improving processes and finding more efficient ways of working Collaborative, adaptable and low-ego Experience within a technology company, research ...

mandatory) Strong experience in Data Science and Analytical Modelling Experience working with complex, large-scale datasets Strong Python and data analysis capabilities Experience with machine learning and statistical modelling techniques Ability to communicate technical findings to both technical and non-technical audiences Experience working within cross-functional teams ...

parts of the supply chain—enabling bulk inventory exchange, streamlined digital payments, and generating vast quantities of aggregated market data. By applying AI and machine learning techniques, we deliver predictive market insight and trading recommendations straight back to the trading environment—facilitating smarter everyday business decisions … scalable security solutions for both enterprise and product environments. Key Responsibilities Lead and mentor the security and compliance team, fostering a culture of continuous learning and collaboration. Develop and maintain a comprehensive security strategy that covers both enterprise systems and product development. Partner with product teams to integrate secure ...

PCIe, Ethernet, and JESD A structured approach to firmware design (RTCA DO-254 or similar) Cryptography and anti-tamper techniques Artificial Intelligence including machine learning and genetic algorithms Electronics test methods and equipment Working in mixed discipline teams HNC/HND or Undergraduate Degree (Electronic Engineering, Computer Science ...

support projects.· Provide strategic guidance and technical Payroll expertise to clients and teams.· Contribute to design of tools, enabled by AI/RPA and Machine Learning to support projects.· Manage, coach, and develop junior members of the team, supporting their personal development and driving team growth.· Stay updated … pitches, and hosting clients at events.· Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), and offering development.· Learning & development – Training to support your career development and the skills demand within the company, certifications etc. YOUR PROFILE ·Leading HR and Payroll projects, enabled ...

Reducing technical debt and ensuring high availability and stability of data systems. Supporting a wide range of use cases from automated reporting through to machine learning‐driven products. Translating complex insight into clear recommendations that influence trading, strategy and product decisions. Identifying opportunities for growth and operational efficiency ...

client pitch contribution, client hosting at events. Internal Contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & Development – Training to support your career development and the skills demand within the company, certifications etc. Your Profile You will have demonstrable experience across … operation with knowledge of Supply Chain Resilience, Planning and demand Forecasting– including experience with current tools and technologies such as A.I., RPA and Machine Learning CIPS or similar Desired Experience: Currently working in a major Consulting firm, and/or in industry but having a Consulting background Proven ...

Reducing technical debt and ensuring high availability and stability of data systems. Supporting a wide range of use cases from automated reporting through to machine learning-driven products. Translating complex insight into clear recommendations that influence trading, strategy and product decisions. Identifying opportunities for growth and operational efficiency ...

Barclays in Glasgow seeks a senior ML platform leader to design, build and evolve production ML pipelines, governance and tooling. You will lead Python-based automation, orchestration and monitoring, enabling scalable, secure ML deployments across the business. Collaborate with data scientists, quants and infra teams to align ML capabilities with ...

Description Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making Accountabilities Design analytics and modelling solutions to complex business problems using domain expertise. Collaboration with technology to specify any dependencies required for analytical solutions ...