integration of automation tools with existing systems and infrastructure for seamless operations. Technology & Innovation : Stay up to date on the latest trends and innovations in data technology, machine learning, AI, and process automation. Evaluate and select appropriate tools and platforms that support data digitization and automation needs, optimizing cost, scalability, and functionality. Encourage a culture of continuous improvement by exploring … disciplines. Proven experience leading teams in delivering data-centric and automation projects, from concept to execution. In-depth knowledge of data engineering, cloud platforms, and automation tools. Experience with AI, machine learning, and RPA technologies is highly desirable. Strong understanding of data governance, security practices, and compliance regulations (GDPR, HIPAA, etc.). Technical Skills : Proficiency in programming languages (e.g., Python … seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence , pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad More ❯
Sand Technologies is a fast-growing enterprise AI company that solves real-world problems for large blue-chip companies and governments worldwide. We're pioneers of meaningful AI : our solutions go far beyond chatbots. We are using data and AI to solve the world's biggest issues in telecommunications, sustainable water management, energy, healthcare, climate change, smart cities, and other … areas that have a real impact on the world. For example, our AI systems help to manage the water supply for the entire city of London. We created the AI algorithms that enabled the 7th largest telecommunications company in the world to plan its network in 300 cities in record time. And we built a digital healthcare system that enables More ❯
Corndel is seeking exceptional individuals to join our Professional Development Expert (PDE) Team to deliver first class coaching and training for our Level 6 AI Engineer programme. To be successful in this role you must possesses practical expertise in machine learning, with experience across the full lifecyclefrom business scoping and data engineering through to deployment, monitoring, and ethical considerations. Familiar … hands-on experience designing and deploying ML models in industryideally within agile or cross-functional teams. Understands what it takes to build and maintain scalable, ethical, and production-ready AI systems. Can share personal stories of both success and failure in deploying ML, helping learners understand real-world challenges like stakeholder alignment, data quality, model drift, or technical debt in … new ground and offering a more intelligent, dynamic, and achievable way of developing people through a world class programme of vocational learning. Corndel delivers a range of programmes, including AI, Leadership and Management, Project Management, Business Administration, Data Professional, Data Analytics, DevOps, Software Development and Fundraising. You will: Manage a caseload of learners, mentoring, coaching and equipping them to become More ❯
Sand Technologies is a fast-growing enterprise AI company that solves real-world problems for large blue-chip companies and governments worldwide. We're pioneers of meaningful AI : our solutions go far beyond chatbots. We are using data and AI to solve the world's biggest issues in telecommunications, sustainable water management, energy, healthcare, climate change, smart cities, and other … areas that have a real impact on the world. For example, our AI systems help to manage the water supply for the entire city of London. We created the AI algorithms that enabled the 7th largest telecommunications company in the world to plan its network in 300 cities in record time. And we built a digital healthcare system that enables More ❯
learning, and an unwavering commitment to delivering high-impact solutions. We are seeking a Data Science & Machine Learning Specialist with a proven ability to design, develop, and deploy transformative AI and machine learning solutions. Your Role: As a Data Science & Machine Learning Specialist, you will work alongside multidisciplinary teams to unlock the full potential of data assets for clients. You … will design state-of-the-art ML models, develop data-driven insights, and deploy production-grade AI solutions. Leveraging your expertise, you will help clients overcome their most pressing challenges and create sustainable value using AI and ML. What We're Looking For: Required Skills and Qualifications Educational Background : Bachelor's or Master's degree in Data Science, Artificial … Mastery : Proficiency in TensorFlow, PyTorch, and scikit-learn for designing, training, and deploying ML models. Cloud Expertise : Hands-on experience with Azure Machine Learning, AWS SageMaker, or GCP Vertex AI for scalable AI deployments. Data Visualization : Proficiency in tools like Tableau, Power BI, and Python-based libraries such as Matplotlib, Seaborn, and Plotly. Statistics and Mathematics : Deep understanding of linear More ❯
role in designing, building, and maintaining complex data systems, including data pipelines, data warehouses, and data lakes. This role is integral to enabling advanced analytics, business intelligence, and AI/ML-powered insights across the institution. The Senior Data Engineer will work closely with cross-functional teams to ensure scalable, secure, and reliable data infrastructure and contribute to KU … based data solutions using platforms such as AWS or Azure. Maintain and enhance KU's Data Warehouse and Data Lake environments to support analytics, dashboards, and operational reports. Support AI/ML model integration pipelines and prepare data for model training, scoring, and inferencing. Collaborate with BI Analysts, Data Scientists, and business stakeholders to translate requirements into performant data engineering … competitive with industry aligned practices, enhances collaboration with external partners, and supports the delivery of services and programs that meet professional and market-driven expectations. Preferred Qualifications Experience integrating AI/ML workflows into data pipelines. Experience with data cataloging and metadata management tools. Experience with data security, access control, and compliance frameworks. Experience working in an Agile environment with More ❯
This is how your job looks like You are part of the IT Data & AI Team and play a key role in shaping, implementing, and enhancing our Data Lake using Azure Databricks Source Integration : Establish connections to diverse systems via APIs , ODBC , Event Hubs , and sFTP protocols. ETL/ELT Pipelines : Design and optimize data pipelines using Azure Data Factory … Proficiency with Azure Data Factory , Databricks and Azure Storage . Strong skills in SQL , Python , and data modeling techniques. Familiarity with data formats like Parquet and JSON. Experience with AI/ML model management on Azure Databricks . Education : Bachelor's degree in IT, Computer Science, or a related field. Microsoft Certified: Azure Data Engineer Associate Language Skills : Fluency in More ❯
Overview We're seeking a Senior Data Scientist to lead the development of advanced analytics and AI/ML solutions that unlock real value across our business. This is a contract role for 6 months . In this contract role, you'll work with proprietary and B2B research datasets to design, deliver, and scale data-driven products. Collaborating closely with … governance in data science. Proven ability to manage and mentor data science teams. Evidence of taking a company or department on a journey from Analytics to Data Science to AI and ML deployed at scale. Ability to translate complex analysis findings into clear narratives and actionable insights. Excellent communication skills, with the ability to listen and collaborate with non-technical More ❯
Lead AI Solutions Engineer page is loaded Lead AI Solutions Engineer Apply locations London - Scalpel time type Full time posted on Posted Yesterday job requisition id REQ06073 This is your opportunity to join AXIS Capital - a trusted global provider of specialty lines insurance and reinsurance. We stand apart for our outstanding client service, intelligent risk taking and superior risk adjusted … technology to our competitive advantage. The central mandate is to horizon-scan, prototype and implement innovative solutions to business problems. What will you do in this role? The Lead AI Solutions Engineer has overall responsibility for developing and implementing artificialintelligence solutions to solve complex problems and enhance business operations. The successful candidate will work cross-functionally; operating … between the business stakeholders, technology teams, and data scientists, to ensure that final solutions meet requirements. The Lead AI Solutions Engineer is an expert in large language models, Gen AI application implementation and machine learning, and has a passion for creating intelligent systems that automate processes, improve efficiency, and drive business innovation. In this role you will be responsible for More ❯
providing innovative medicines and vaccines. Our dedication to scientific excellence and ethical practices guides everything we do. R&D at GSK is highly data-driven, and we're applying AI/ML and data engineering to generate new insights, enable analytics, gain efficiencies and automation. This role is based in an AI/ML team that is already working on … projects involving Generative AI, Information Retrieval, NLP/NER/RE, document classification, and has won awards and recognition for its work. The team's future projects will be in diverse areas, such as regulatory, clinical, legal and HR. Versatility is key, with an ability to quickly understand domain data and requirements and translate them into solutions. You will interact … relentless improvement of R&D Tech systems in alignment with agile and DevOps principles. We're looking for demonstratable expertise across a selection of the following key competencies: Generative AI, model building, training and evaluation, natural language processing, classification problems, data engineering, and software development. You should also be versed in agile ways of working, source control and the Azure More ❯
customers and consumers than ever before, and unlocking efficiencies and automation across our End-To-End Value Chain. Building on this momentum, we are recruiting a Machine Learning and AI Engineering Lead to join our Royal Canin Global Data & Analytics Team who will accelerate the shaping and delivery of our Data & Analytics Agenda. The Machine Learning and AI Engineering Lead … will oversee ML and AI solution development and deployment as a capability served across the end-to-end Data & Analytics solution portfolio. The role integral to the organization's mission of leveraging advanced technologies to drive innovation and efficiency across the organisation. The role will work closely with the Data Science Lead to develop and execute an AI and ML … roadmap aligned with business goals and requirements. What will be your key responsibilities? Serve as the technical lead for Generative AI and machine learning model deployment within RC D&A. Collaborate with the Data Science team to design, prototype and build next generation ML and AI products and accelerators. Design, architect and review technical architecture for data science, machine learning More ❯
joining a team of IT and communications technology pros who are empowered to do what they do best, your best choice your choice is C1. Overview Summary As an AI Developer, you will be responsible for designing, developing, and deploying AI models and systems that drive meaningful outcomes for our customers. You will collaborate with cross-functional teams to identify … analytics, and recommendation systems. Data Handling: Preprocess, analyze, and visualize large datasets to extract actionable insights; collaborate with data engineers to ensure data quality and availability. System Integration: Integrate AI models into existing software architectures, ensuring seamless functionality and optimal performance. Research & Innovation: Stay current with the latest AI research and trends; propose and implement innovative solutions to enhance our … AI capabilities. Collaboration: Work closely with product managers, data scientists, and software engineers to define project requirements and deliver AI-powered solutions. Testing & Evaluation: Develop rigorous testing methodologies to evaluate the performance and reliability of AI systems; troubleshoot and optimize model performance. Documentation: Maintain clear and comprehensive documentation of models, experiments, and code for future reference and knowledge sharing. Compliance More ❯
T) Program, an organization and program that will be developing and integrating forward-looking technologies to enhance the DoD worldwide mission, maturing its architecture of hardware, software, and advanced intelligence problem solving. The Data Scientist supports the production and the continued advancement of data analytical processes and techniques within the operational and technical aspects of the DAF C In … T programs, policies and concepts. The successful candidate is someone who creatively approaches a variety of requirements to meet intelligence needs, can balance work on multiple tasks, and work collaboratively with other scientists, engineers, and analysts in a collaborative, dynamic, cross-functional environment. The Data Scientist is responsible for producing applied research in the intelligence field. Consulting Support … and policies (preferred). • Experience supporting the Air Force (preferred). • Multiple data analysis languages, methods, and tool expertise (preferred) Desired Certifications: • Certified Analytics Professional (CAP) • SAS Certified Professional: AI and Machine Learning (preferred) • SAS Certified Advanced Analytics Professional (preferred) • SAS Certified Data Scientist (preferred) • DataBricks Certified Data Engineer Professional (preferred) Travel: Some travel involved, >10%. More ❯
edge technologies, such as AWS (Amazon Web Services), Microsoft Azure, or Google Cloud. You will also receive comprehensive training in areas like data analytics, cybersecurity, cloud computing, and business intelligence tools. These will be supported by practical … on-the-job learning and ongoing mentoring from experienced professionals at PwC. Additionally, you'll have the opportunity to gain exposure to emerging technologies, including: ArtificialIntelligence (AI) Blockchain Robotic Process Automation (RPA) Internet of Things (IoT) Through a blend of structured learning, mentoring, and hands-on experience, you'll develop the skills necessary to advise clients on More ❯
edge technologies, such as AWS (Amazon Web Services), Microsoft Azure, or Google Cloud. You will also receive comprehensive training in areas like data analytics, cybersecurity, cloud computing, and business intelligence tools. These will be supported by practical … on-the-job learning and ongoing mentoring from experienced professionals at PwC. Additionally, you'll have the opportunity to gain exposure to emerging technologies, including: ArtificialIntelligence (AI) Blockchain Robotic Process Automation (RPA) Internet of Things (IoT) Through a blend of structured learning, mentoring, and hands-on experience, you'll develop the skills necessary to advise clients on More ❯
edge technologies, such as AWS (Amazon Web Services), Microsoft Azure, or Google Cloud. You will also receive comprehensive training in areas like data analytics, cybersecurity, cloud computing, and business intelligence tools. These will be supported by practical … on-the-job learning and ongoing mentoring from experienced professionals at PwC. Additionally, you'll have the opportunity to gain exposure to emerging technologies, including: ArtificialIntelligence (AI) Blockchain Robotic Process Automation (RPA) Internet of Things (IoT) Through a blend of structured learning, mentoring, and hands-on experience, you'll develop the skills necessary to advise clients on More ❯
Birmingham, Staffordshire, United Kingdom Hybrid / WFH Options
Merantix
and make a better world. As a member of the Industry Futures team, you will be working side-by-side with world-class researchers and engineers to build new AI driven construction workflows that will help our customers imagine, design, and make a better world. The Industry Futures team is active in the wider research community and has developed active … collaboration with academia and industry leaders in the field of construction. We are seeking a subject matter expert in construction digital twins and AI model development to lead the creation of real-time, multimodal digital twin solutions. This role focuses on integrating diverse data sources including BIM, schedules, reality capture, and field data into cohesive, AI-driven models that enhance … Key responsibilities include developing standardized data schemas, ensuring data connectivity across systems, and building scalable pipelines to support accurate, real-time insights. This position requires expertise in data integration, AI analytics, and digital transformation in the built environment. Based in Toronto with flexibility for remote or hybrid work, this role supports Autodesk's hybrid-first approach. Responsibilities Lead exploration of More ❯
About Exsolvæ: Exsolvæ is a Brussels-based consultancy at the forefront of Data and ArtificialIntelligence innovation. We specialize in providing expert Consultancy, Audit, and Solution Development services to empower our partners in overcoming unique challenges. Our holistic approach fosters collaboration across diverse domains, including Data Engineering, Advanced Analytics, and AI. At Exsolvæ, our "Solvers" are passionate professionals … Continuous Learning : Access the latest tools, certifications, and training opportunities to remain at the cutting edge of Azure technologies. Collaborative Culture : Be part of a team that values collective intelligence and mutual support. Hybrid Flexibility : Enjoy a balanced work model with opportunities for remote and in-office collaboration. Competitive Compensation : Benefit from an attractive salary, performance-based bonuses, and More ❯
Optimize workflows and pipelines to ensure efficient and secure data ingestion, processing, storage, and access. Foster a data-driven culture by ensuring architecture supports self-service analytics and business intelligence tools. Data Governance & Security: Establish and enforce robust data governance practices, ensuring compliance with regulatory requirements and company policies. Partner with IT security teams to implement secure-by-design … data governance professionals. Foster a culture of innovation, collaboration, and continuous learning within the team. Emerging Technologies: Stay abreast of emerging technologies, tools, and industry trends in data platforms, AI/ML, and big data. Proactively evaluate and recommend new technologies that enhance data capabilities and drive business innovation. Cross-Functional Collaboration: Partner with IT, analytics, and business teams to … paced, agile environments and balance long-term strategy with short-term execution. Preferred Qualifications: Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, etc.). Experience with AI/ML technologies and data science platforms. Familiarity with DevOps, CI/CD pipelines, and Infrastructure as Code (IaC). What can you expect from Mars? Work with diverse and More ❯
is built for the speed of today's market, eliminating disconnects between pricing strategy and rebate execution. We help companies to increase profitability and simplify the complex with accurate, AI-powered insights, real-time performance monitoring, agreement optimization, and simplified rebate management. After securing $291M in Series A-D funding and acquiring Flintfox in 2025, Enable is positioned for continued … at Enable? Visit our Life at Enable page to learn how you can be part of our journey. We're hiring a Senior Machine Learning Engineer to join our AI and Architecture team, contributing to the design, development, and deployment of cutting-edge machine learning systems. In this role, you'll work closely with ML scientists, data engineers, and product … teams to help bring innovative solutions-such as retrieval-augmented generation (RAG) systems, multi-agent architectures , and AI agent workflows -into production. As a Senior Machine Learning Engineer, you'll play a key role in developing and integrating cutting-edge AI solutions-including LLMs and AI agents -into our products and operations at a leading SaaS company. You'll collaborate More ❯
Reporting to: Data Engineering Lead Location: London, Manchester, hybrid DEPT/AI has a single mission: to make the best work in the industry using Data & AI to enhance everything we do. This role sits within our Data & AI practice, which has deep expertise in leveraging AI. The team includes data strategists, consultants, data scientists and analysts that work alongside … world - and doing this alongside an experienced team. This role is part of our EMEA Data craft team, an integrated craft across Europe driving data engineering, data science, and AI initiatives. We combine our expertise in data architecture, analytics, and AI to deliver exceptional data-driven solutions that build lasting relationships with our clients like Footlocker, Nikon, Rituals, and Philips. More ❯
like Microsoft Azure, AWS, Google Cloud Experience with cloud deployment technology (Docker, Ansible, Terraform, etc.) is also a plus. Experience with DevOps and tools like Azure DevOps Experience with AI-related projects/products or experience working in an AI research environment. Exposure to Docker, Kubernetes, and cloud services is beneficial. A degree, certifications or opensource track record that shows More ❯
home to some of the world's leading experts on autonomous vehicles, creating solutions such as Oxa Driver, equipping vehicles with full self-driving functionality; Oxa MetaDriver, using Generative AI to accelerate and assure the safety of deployments; and Oxa Hub, a set of cloud-based offerings for autonomous fleet management. Our technology is being deployed across the UK and … is growing rapidly (350+ 'Oxbots' to date). Our purpose is to change the way the Earth moves, through an uncompromising focus on safety, efficiency and explainability of our AI approaches. The company has attracted $225 million from leading investors so far, with $140 million raised in the last Series C funding round in January 2023. The role We are … to make in advance of commencing the interview process with us. Learn more about our culture here . Why become an Oxbot? Our team of experts in computer science, AI, robotics and machine learning is world-class, and together they're solving the most exciting and important technological challenges of our times. But as well as smarts, Oxbots have heart. More ❯
an exciting journey, crafting tools and patterns that are state-of-the-art and transformative. We are the catalysts, enabling the creation and collaboration of cutting-edge ML and AI technologies. Our work is pivotal in shaping the BBC's future, empowering teams across the organisation to explore, innovate, and redefine the landscape of media. Our team is building out … reviews, participate in pair programming, and advocate for clean code, modular design, and maintainable architecture. Collaborate with architects and stakeholders to design high-level system architecture for cloud-first, AI-integrated products. Enforce security best practices (IAM, encryption, VPC configuration, audit logging) using AWS native services and third-party tools. Embed security throughout the software development lifecycle by integrating static … active mentorship of team members. Your Skills And Experience Extensive experience of DevOps/MLOps experience with a strong focus on building and delivering scalable infrastructure for ML and AI applications using Python and cloud native technologies Experience with cloud services, especially Amazon Web Services (AWS) - SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS. Proficiency in Infrastructure-as More ❯
an exciting journey, crafting tools and patterns that are state-of-the-art and transformative. We are the catalysts, enabling the creation and collaboration of cutting-edge ML and AI technologies. Our work is pivotal in shaping the BBC's future, empowering teams across the organisation to explore, innovate, and redefine the landscape of media. Our team is building out … reviews, participate in pair programming, and advocate for clean code, modular design, and maintainable architecture. Collaborate with architects and stakeholders to design high-level system architecture for cloud-first, AI-integrated products. Enforce security best practices (IAM, encryption, VPC configuration, audit logging) using AWS native services and third-party tools. Embed security throughout the software development lifecycle by integrating static … active mentorship of team members. Your Skills And Experience Extensive experience of DevOps/MLOps experience with a strong focus on building and delivering scalable infrastructure for ML and AI applications using Python and cloud native technologies Experience with cloud services, especially Amazon Web Services (AWS) - SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS. Proficiency in Infrastructure-as More ❯
