Azure, Google Cloud, AWS Strong understanding and experience of quality engineering techniques including test-driven development (TDD), Behaviour-driven development (BDD), integration testing and performance testing Some experience with AI tools (one of more of) Python, LLM(Large Language models), RAG, Langchain Set Yourself apart with: Bachelor's/Master's degree in Computer Science or related field Experienceof working More ❯
ABOUT BEAMERY Beamery's mission is to create equal access to work, skills, and careers. We are a leading transformational AI platform in the HR technology industry, enabling enterprise companies to create better and fairer talent decisions - by accelerating their recruiting processes, unlocking successful internal mobility opportunities, enabling smarter upskilling initiatives, and facilitating agile workforce planning. We are helping our … Deepening our native integrations with SAP, Workday, Microsoft, and LinkedIn to seamlessly embed our skills intelligence into the platforms where critical workforce decisions are made. Embedding our agentic AI to help customers plan smarter for the future-powering workforce strategies, internal mobility, and skills forecasting. Advancing our use of proprietary LLMs and knowledge graph technology to help organizations unlock … We're building intelligent products powered by LLMs and agentic workflows that turn complex talent data into actionable insights and automation. Own and lead the full lifecycle of impactful AI-driven product initiatives, from early discovery to deployment, designed to solve talent management processes for customers. Design, build, and scale production-grade ML systems that extract insights from rich, semi 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 ❯
to impact your career and provide an adventure where you can push the limits of what's possible. As a Senior Lead Software Engineer at JPMorgan Chase within the AI and Machine Learning Data Platform Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure … partners. We build solutions that automate quality workflows, accelerate debugging, and enable smarter decision-making across SDLC. Join us in shaping the future of intelligent testing through cutting-edge AI and model-driven engineering. Job responsibilities Serves as a subject matter expert on a wide range of ML techniques and optimizations. Provides in-depth knowledge of ML algorithms, frameworks, and … solutions. Optimizes system accuracy and performance by identifying and resolving inefficiencies and bottlenecks. Collaborates with product and engineering teams to deliver tailored, science and technology-driven solutions. Integrates Generative AI within the ML Platform using state-of-the-art techniques. Required qualifications, capabilities, and skills Formal training or certification (MS and/or PhD) in Computer Science, Machine Learning, or More ❯
Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: Senior Data Scientist/AI Engineer About The Job You're Considering We work with our clients to fully exploit their data using the power of AI & Analytics to deliver real business value at scale across the organisation. We have a proven … everyday life, and will be part of your working reality. We have built an inclusive and welcoming environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills … by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported 2023 global revenues of €22.5 billion. Ref. code: 104482 Posted on: 6 Apr 2025 Experience Level: Experienced Professionals Contract Type: Permanent 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 ❯
Key Responsibilities: Line management of an Analyst in Data Science and three Senior Research Assistants. Work with the Technical Agent for Data Strategy to implement the Data Analytics/AI and Technology strategy for the Agency Network. Lead advanced research and experimentation in AI, including Machine Learning and Generative AI, and statistical modelling Develop and implement complex data science solutions … ensuring they deliver measurable business improvements. This will include the development of AI solutions for the analysis of Agency intelligence working alongside Advanced Analytics. Work collaboratively with Agents to implement new analytical tools, including scoping and leading projects. Work collaboratively with the PAs and other support staff in the Network to implement improvements to the data management, technology and … and management skills with the ability to manage and develop a team consisting of an Analyst Data Scientist and three Senior Research Assistants. Thought leadership on data science and AI capabilities Proficiency in data visualisation tools (e.g. Tableau, Power BI) and presenting data effectively. Desirable criteria Experience and knowledge of Cloudera Data Platform. Change management experience. An appreciation of the 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 ❯
frameworks (e.g. React, Angular, or Vue.js). Build and maintain ETL/ELT pipelines and data models within data warehouses, an example pipeline being ingesting data from multiple Cyber Intelligence vendors. Architect and implement cloud-based solutions on AWS, ensuring scalability, reliability, and security. Collaborate with cross-functional teams to understand requirements, develop solutions, and deliver high-quality software … stakeholders at all levels, provide training, and solicit feedback. Preferred qualifications, capabilities, and skills Experience with big-data technologies, such as Splunk, Trino, and Apache Iceberg. Data Science experience. AI/ML experience with building models. AWS certification (e.g., AWS Certified Solutions Architect, AWS Certified Developer). About Us J.P. Morgan is a global leader in financial services, providing strategic 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 ❯
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 ❯
Quantitative Developer role at Barclays Business Banking 1 day ago Be among the first 25 applicants Join to apply for the Quantitative Developer role at Barclays Business Banking Get AI-powered advice on this job and more exclusive features. Join us as an Quantitative Developer, where you will be directly involved in the design and development of reusable frameworks and More ❯
engineering solutions at scale, preferably in large or complex environments. Experience working with data governance, compliance, and security protocols. Preferred Qualifications: Experience with machine learning and preparing data for AI/ML model training. Familiarity with stream processing frameworks (e.g., Apache Kafka, Apache Flink). Certification in cloud platforms (e.g., AWS Certified Big Data - Specialty, Google Cloud Professional Data Engineer More ❯
and definition/evangelism of best practices/standards - Software delivery, including CI/CD and relatedDevSecOpspractices, working withcloud-basedplatforms such as Azure or AWS(preferred) - Experience working on AI/Gen AIimplementations and underlyingarchitecture, and models - Application testing,automationand performance testing tools - Working knowledge of Agile Scrum Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will More ❯
position requires a deep understanding of machine learning, natural language processing, and generative models, combined with problem-solving skills and a passion for innovation. Key job responsibilities 1. Generative AI Model Development: -Design and develop generative AI models, including language models, image generation models, and multimodal models. -Explore and implement advanced techniques in areas such as transformer architectures, attention mechanisms … and stay up-to-date with the latest advancements in the field of generative AI. 2. Data Acquisition and Preprocessing: -Identify and acquire relevant data sources for training generative AI models. -Develop robust data preprocessing pipelines, ensuring data quality, cleanliness, and compliance with ethical and regulatory standards. -Implement techniques for data augmentation, denoising, and domain adaptation to enhance model performance. … 3. Model Training and Optimization: -Design and implement efficient training pipelines for large-scale generative AI models. -Leverage distributed computing resources, such as GPUs and cloud platforms, for efficient model training. -Optimize model architectures, hyperparameters, and training strategies to achieve superior performance and generalization. 4. Model Evaluation and Deployment: -Develop comprehensive evaluation metrics and frameworks to assess the performance, safety More ❯
and training plans to ensure that you will continue to grow and develop your career at Hitachi. Job Description We are growing our consulting team and looking for Senior AI (ArtificialIntelligence) Consultants to join us on our exciting journey and be part of the Hitachi Solutions family Key Accountabilities Accountable for providing hands-on technical knowledge, while … organizational standards. Key Responsibilities Capture client requirements and lead the development of solution architectures that meet both current and future business needs Provide expert advisory services to clients on AI best practices, ensuring delivery of scalable and efficient solutions. Define high-value business scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data … as Azure ML Pipelines, Azure DevOps. Run experiments and monitor performance of machine learning solutions using tools such as Azure Azure ML, and Azure Application Insights. Operationalise and deploy AI solutions, ensuring that coding, security and CI/CD best practices are followed. Communicate and present findings and recommendations to stakeholders and customers using tools such as Power BI, Azure More ❯
AI Technical Consultant Remote - Be based anywhere in the UK To £60,000 + bens This is a unique and rare opportunity to join one of the UK's most accredited Microsoft Partners, delivering truly cutting edge AI-driven solutions. If you want to future proof your tech career, this is the move! Need some convincing? ✅ Azure Expert MSP, Azure … and Data +AI Solutions Partner with 15 Advanced Specialisations ✅ 21% YoY recurring revenue growth ✅ Top 10 "Best Tech companies to work for" in the UK ✅ Chief AI Officer who has worked for Microsoft and Google! So what's the role...? As an AI Technical Consultant, you will play a key role in designing, implementing, and optimising AI solutions for clients. … Working as part of an agile team, you will provide expert guidance, leveraging AI technologies to drive innovation and business success. You will collaborate with stakeholders to understand business needs, develop AI models, and ensure seamless deployment and integration. Key Responsibilities Collaborate with clients to identify business challenges and opportunities for AI-driven solutions. Design, develop, and deploy AI models More ❯
As a Senior Microsoft Azure AI Engineer (m/w/d) Lead AI Solution Architecture , you're responsible for the end-to-end architecture of AI/ML solutions on Azure . You provide technical leadership to teams in implementing best practices and MLOps, and work closely with clients to translate their business needs into innovative AI solutions. Activities … Lead AI Solution Architecture: Own the end-to-end architecture for AI/ML solutions on Azure, from concept and design to deployment. Develop high-level solution designs that integrate with clients' existing data platforms and infrastructure. Client Engagement: Work closely with enterprise clients to understand business challenges and identify opportunities where AI/ML can drive value (e.g. predictive … in pharma, or risk modeling in insurance). Translate these needs into solution roadmaps and technical plans. Technical Leadership: Provide hands-on technical leadership to delivery teams. Guide Azure AI Engineers and Data Engineers in implementing best practices for data preparation, model development, and cloud deployment. Mentor team members in advanced AI techniques and review designs/code to ensure More ❯
As a Senior Microsoft Azure AI Engineer (m/w/d) Lead AI Solution Architecture , you're responsible for the end-to-end architecture of AI/ML solutions on Azure . You provide technical leadership to teams in implementing best practices and MLOps, and work closely with clients to translate their business needs into innovative AI solutions. Activities … Lead AI Solution Architecture: Own the end-to-end architecture for AI/ML solutions on Azure, from concept and design to deployment. Develop high-level solution designs that integrate with clients' existing data platforms and infrastructure. Client Engagement: Work closely with enterprise clients to understand business challenges and identify opportunities where AI/ML can drive value (e.g. predictive … in pharma, or risk modeling in insurance). Translate these needs into solution roadmaps and technical plans. Technical Leadership: Provide hands-on technical leadership to delivery teams. Guide Azure AI Engineers and Data Engineers in implementing best practices for data preparation, model development, and cloud deployment. Mentor team members in advanced AI techniques and review designs/code to ensure More ❯
As a Senior Microsoft Azure AI Engineer (m/w/d) Lead AI Solution Architecture , you're responsible for the end-to-end architecture of AI/ML solutions on Azure . You provide technical leadership to teams in implementing best practices and MLOps, and work closely with clients to translate their business needs into innovative AI solutions. Activities … Lead AI Solution Architecture: Own the end-to-end architecture for AI/ML solutions on Azure, from concept and design to deployment. Develop high-level solution designs that integrate with clients' existing data platforms and infrastructure. Client Engagement: Work closely with enterprise clients to understand business challenges and identify opportunities where AI/ML can drive value (e.g. predictive … in pharma, or risk modeling in insurance). Translate these needs into solution roadmaps and technical plans. Technical Leadership: Provide hands-on technical leadership to delivery teams. Guide Azure AI Engineers and Data Engineers in implementing best practices for data preparation, model development, and cloud deployment. Mentor team members in advanced AI techniques and review designs/code to ensure More ❯
About the role As an AI Scientist at Zellis you'll play a pivotal role in embedding AI-driven solutions across the Zellis HR, Workforce Management and Payroll platform and driving through their adoption. You'll work within a small, highly creative and research-driven team, designing, developing and deploying compute-efficient, powerful, and safe AI models that provide tangible … value to our clients. Our mission is to redefine how AI can expand Zellis' client base, ensuring AI goes beyond surface-level functionality to drive meaningful transformation across HR and pay solutions. You'll develop and implement AI technologies that enhance automation, decision-making, and predictive capabilities. You'll also ensure our AI solutions adhere to strict ethical, privacy, and … security standards while maximising business impact. At Zellis, we balance research with practical deployment, ensuring that AI innovations translate into business value. We embrace a fast-paced, entrepreneurial mindset, enabling us to iterate rapidly and refine our AI strategies based on continuous learning and real-world feedback. In this role your key responsibilities will include: AI Research and Model Development More ❯
Senior Platform Engineer - AI Team page is loaded Senior Platform Engineer - AI Team Apply locations London, United Kingdom GBR-Nottingham-1 Chapel Qtr time type Full time posted on Posted Yesterday job requisition id R Company Profile LSEG (London Stock Exchange Group) is a world-leading financial markets infrastructure and data business. We are dedicated, open-access partners with a … collaboration with Microsoft, this team focuses on building, developing, and supporting our Azure cloud platforms to accelerate the time-to-market of innovative finance products. As part of the AI Platform Engineering squad, you will implement, optimise and scale innovative AI workloads across LSEG. Design and build AI tools and products to improve developer experience. Active involvement in decision making … areas such as networking, compute, security and monitoring. Perform POVs and POCs of the emerging AI/GenAI technologies to determine the business value they add to LSEG. Mentor and guide junior engineers, encouraging best practices in Azure administration, development, and DevOps processes. Work alongside architects, developers and other engineers to ensure efficient Azure AI services and models are designed More ❯
convergence between brick-and-mortar and online payments. Further information is available at . It starts here. Have a global impact on the world of payments. Are you an AI visionary with a passion for shaping the future of Generative AI ? We're seeking a Senior Director, Gen AI to lead the development of advanced AI agents, leveraging LLMs, reinforcement … learning, vector databases, and autonomous systems . As a key AI strategy leader , you'll define the next-generation consumer experiences , enabling real-time merchant insights , AI-powered Ops automation , and cutting-edge chatbot capabilities . You will collaborate closely with executive leadership, key industry stakeholders, and regulatory bodies to ensure AI solutions align with global standards and drive measurable … St Paul's cathedral with easy access and transport links via St Paul's, Bank, Cannon Street, City Thameslink, Liverpool Street, Farringdon, Mansion House. The impact you will have: AI Agent Development: Design and optimize AI agents capable of autonomous learning, decision-making, and task execution. LLM Fine-Tuning & Enhancement: Adapt foundational models like GPT, Llama, integrating retrieval-augmented generation More ❯
