21 jobs found

We are Dufrain, a pure-play data consultancy specialising in helping businesses unlock the true value of their data by providing market-leading data solutions and services. At Dufrain we pride ourselves on a creative and innovative approach, focusing on delivering exceptional outcomes for clients by leveraging data to drive growth and efficiency. Our mission is to inspire, shape and deliver the data capabilities of tomorrow. MAIN PURPOSE OF THE ROLE: We're looking for a Senior Data Scientist with hands-on experience in Machine Learning and Generative AI, and a passion for solving real-world business problems using advanced data techniques This is a fantastic opportunity to join a growing team, work on high-impact projects, and contribute to innovative AI and data science solutions across a wide range of industries. Role Responsibilities Design and implement data science and GenAI models to solve client challenges Collaborate with client stakeholders to understand business requirements and shape technical approaches Contribute to the delivery of scalable, production-ready solutions alongside data engineers and MLOps teams Apply a range of techniques including LLMs, RAG pipelines, vector databases, prompt engineering, and fine-tuning Participate in client workshops and discovery sessions to gather requirements and present findings Stay up to date with the latest trends in AI and data science, and bring innovative thinking to projects Help foster a collaborative and knowledge-sharing culture across the data science team Represent Dufrain at industry events, conferences, and forums - contributing thought leadership through articles, blog posts, and strategic insights Skills and experience required Strong practical experience delivering ML and/or GenAI projects end-to-end Proficient with Python and common data science tools and libraries Hands-on experience with GenAI tools and frameworks such as Hugging Face, LangChain, and open-source LLMs Familiar with cloud platforms (Azure preferred), and tools such as Databricks Comfortable using cloud platforms (especially Azure), and familiar with tools such as Databricks, Hugging Face, LangChain, and open-source GenAI libraries Comfortable working with clients and explaining technical concepts to non-technical stakeholders A natural problem solver, with a keen interest in learning and staying ahead of developments in the AI space Ideally experienced working in a consultancy or client-facing role If you're passionate about data, and you're looking to join a leading data and analytics company based in the UK, you could find your dream role at Dufrain. Please submit your CV highlighting your relevant experience and certifications. Applicants must have the right to work in the UK and not require sponsorship now or in the future. Visa sponsorship is not available . We are an equal opportunity employer and value diversity at our company We do not discriminate on the basis of race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, age, or any other status protected by law. All qualified applicants will receive consideration for employment without regard to these factors. We encourage applications from individuals of all backgrounds and experiences.

Senior Applied Scientist, Prime Video Commerce Science Tech Job ID: Amazon Development Centre (London) Limited Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is one of the world's leading digital video services, and we're just getting started changing the way millions of people around the world enjoy content. Now available in more than 200 countries and territories, Prime Video offers customers the broadest selection of any on-demand video service, including our critically-acclaimed Amazon Originals Series such as The Boys, The Marvelous Mrs. Maisel, The Underground Railroad; UK-produced hit Amazon Original series like Good Omens, The Grand Tour, All or Nothing: Tottenham Hotspur and forthcoming drama series like The Power, Jungle and The Rig; exclusive TV shows like Nine Perfect Strangers and Little Fires Everywhere; and movies like Coming 2 America, Borat Subsequent Moviefilm and Without Remorse plus live sport including ATP and WTA Tour and US Open Tennis, Autumn Nations rugby and Premier League football. Amazon Studios is the movies and television development and production arm of Amazon. It is our role to produce original content and license studio programs worldwide in exclusive service of Amazon's Prime Video customers. We need your passion, innovative ideas, and creativity to help take us to new heights. Do you want to work at the intersection of Engineering, Machine Learning, Data Science, and GenAI? Do you like inventing, growing and learning from the world-class engineers and scientists? If so, we want to hear from you! We are seeking a seasoned senior scientist with expertise in causal inference, reinforcement learning. multiagent systems, agenticAI as well as LLMs to join the Amazon Studios AI Labs team. This is a hybrid applied science and engineering team that is developing bleeding edge AI solutions to enhance efficiency, elevate creativity, and ultimately redefine industry standards, ensuring that every decision is accelerated by intelligence and foresight. We need your passion, innovative ideas, and creativity to help take us to new heights. Key job responsibilities We are looking for a Senior Applied Scientist with domain expertise in causal inference, reinforcement learning. multi agent systems, agentic AI as well as LLMs who will lead development of new algorithms and E2E solutions. You will be part of a team of applied scientists and software development engineers responsible for research, design, development and deployment of algorithms into production pipelines. As a technologist, you will also drive publications of original work in top-tier conferences in Machine Learning. You will be expected to deal with ambiguity! We're looking for someone with outstanding analytical abilities and someone comfortable working with cross-functional teams and systems. You must be a self-starter and be able to learn on the go. A day in the life As a senior applied scientist at Amazon, you'll be diving deep into groundbreaking ML challenges. Your typical day involves architecting large-scale ML systems, collaborating with cross-functional teams, and mentoring junior scientists. You'll start with stand-ups, then transition to developing novel CV algorithms for product features impacting millions of customers. Afternoons often include technical deep-dives, reviewing research papers, and driving technical strategy discussions with leadership. You'll work with massive datasets, optimize model performance, and ensure production readiness. We value your ability to balance scientific innovation with practical business impact while maintaining Amazon's high technical bar. About the team This role is in a team that is building a new family of AI products for Prime Video Commerce Science Tech. This team is considered strategic and has visibility with Prime Video leadership at the highest levels. The role offers a chance to build and launch new AI services from the ground up, contribute to exceeding the state of the art in machine learning (ML) technology, and work closely with an exceptional group of product, engineering, and science leaders. BASIC QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience in building machine learning models for business application - Experience in applied research PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Join our innovative AI/ML team at Barclays Corporate Bank as a Senior Machine Learning Engineer, where we bridge the gap between cutting-edge data science exploration and real-world business application integration. We manage internal cloud platforms that support exploratory data science work while specialising in transforming conceptual ML models into production-ready applications that drive critical business decisions and processes. As part of Barclays' strategic AI/ML initiative, our team plays a vital role in establishing the corporate bank as a leader in financial data analytics innovation. We offer the opportunity to work with enterprise-scale data using cloud technologies, implement MLOps best practices, and collaborate with talented data scientists to deliver solutions that create measurable business impact across the organization. To be successful in this role, you will need the following: Strong proficiency and experience in AWS based Machine Learning technologies (AWS SageMaker, Lambda, S3, EC2). Experience with CI/CD pipelines and Docker containerisation for ML model development/deployment. Data preprocessing and feature engineering expertise. Programming skills in Python and ML frameworks (TensorFlow, Torch, scikit-learn). Statistical analysis and model evaluation capabilities. Previous experience in the banking sector is mandatory. Some other highly valued skills may include: Experience with experiment tracking and model registry tools (MLflow, DVC). Knowledge of infrastructure as code (Terraform, CloudFormation). Familiarity with data visualisation tools and techniques. Advanced knowledge of ML algorithms and their optimisation. Experience with distributed computing for large-scale ML workloads (Spark). Experience with pricing models or pricing-related projects is strongly preferred. Additional Experience in GenAI projects implementation (multiple RAG patterns, prompt management, agentic workflows) is preferred. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. The successful candidate will be based inGlasgow. Purpose of the role To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Vice President Expectations Contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/processes; deliver continuous improvements and escalate breaches of policies/procedures. Be a subject matter expert within own discipline and will guide technical direction. Lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. Train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.

Sr. Specialist BD, AI/ML/GenAI, SSO/GenAI Team Amazon Web Services, an Company, has been the world's leading cloud provider for more than 17 years with the most mature, comprehensive, and broadly adopted cloud platform. We have over 200 fully featured cloud services, managed from 114 availability zones within 36 geographic regions across the globe. Millions of customers in over 240 countries - from the fastest growing start-ups to the largest enterprises, through to leading government agencies - all place their trust in Amazon Web Services to power their infrastructure, and deliver innovation. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. Amazon Web Services came to China in 2013, and has been relentlessly investing and expanding our infrastructure and business since then. Amazon Web Services launched its China (Beijing) Region (operated by Sinnet) in September 2016 and its China (Ningxia) Region (operated by NWCD) in December 2017. In 2019, Amazon Web Services added a new region in Hong Kong, making China the only country with three Amazon Web Services regions aside from the U.S. In 2022, Amazon Web Services launched Local Zone in Taipei. Amazon Web Services has also established an AI lab in Shanghai and two IoT labs in Shenzhen and Taipei. The Amazon Web Services Partner Network has thousands of Partners in China. Amazon Web Services has supported over 10,000 local startups and has provided cloud skills training to over 700,000 talents. Amazon's first two utility-scale renewable projects-a solar farm and a wind farm-are also generating clean energy to the country's grid. Amazon Web Services (AWS) is the pioneer and recognized leader in Cloud Computing. Our web services provide a platform for IT infrastructure in-the-cloud that is used by hundreds of thousands of developers and businesses around the world. These customers range from start-ups to leading web companies to Global 2000 companies in financial services, pharmaceuticals, and technology. AWS customers are looking for ways to transform their businesses and solve their own complex business challenges with machine learning (ML) technologies in the cloud. AWS is leading the way in providing customers with end-to-end AI/ML/GenAI platforms such as Bedrock, SageMaker. Are you passionate about AI/ML/GenAI, Deep Learning, and scalable distributed systems? Are you passionate about developing impactful ML content and strategies? Are you passionate about engaging the Artificial Intelligence community (AI researchers, developers building ML-powered products, data scientists and ML entrepreneurs in startups and enterprises)? AWS is seeking a Sr. Specialist BD for AI/ML/GenAI. The Specialist BD will be responsible for defining, building and deploying effective and targeted programs to accelerate broad based sales and business development activities. The Specialist BD will be responsible for the promotion of AI/ML/GenAI products in territory, and work closely across multiple internal and external organizations - AWS Field team, Marketing, Partners, and AI communities - to promote AWS AI/ML/GenAI products for customers and partners. The Specialist BD will be directly helping customers to reinvent their own business models by harnessing the power of AWS AI/ML solution and products, and finally deliver result. In addition, the Specialist BD will synthesize data and information gathered from these engagements into succinct findings, derive strategic insights, and persuasively communicate findings and perspectives to product and sales teams, including senior leadership. The Specialist BD will work with business development, sales and solution architecture teams to track, prioritize and close customer engagements that would benefit from the AWS AI/ML/GenAI services, and collaborate and coordinate cross-functional teams around these engagements where appropriate. The ideal candidate will possess a Technology and Business background. The candidate will have the technical depth and business experience to easily communicate the benefits of machine learning platforms and frameworks in the AWS cloud to IT architects, engineering teams, and C-Level executives. The ideal candidate will have a demonstrated ability to think strategically and long-term about the needs of complex global businesses. The ideal candidate will also be deeply familiar with complex legacy IT environments, managed enterprise IT infrastructure services, Enterprise applications, and would have done market analysis, deal negotiation and construction, business operations; and have a background that enables them to create scalable programs that apply holistic approaches to selling to customers and partners across different market segments. Key job responsibilities Engage in Senior-level customer meetings to drive AWS AI/ML/GenAI adoption. Diving into customer's business challenges and executing strategies on how the AWS AI/ML/GenAI services can help address and resolve these challenges. Serve as an evangelist for the AWS AI/ML/GenAI products within AWS and externally. Define, build and deploy enterprise focused sales and business development campaigns around the AWS AI/ML/GenAI offering. -Engage, support and scale business development and sales teams across AWS to be capable of delivering the AWS AI/ML/GenAI value proposition to customers and partners. Develop a standard market intelligence framework and dynamic analytic model to be utilized by the AWS Sales, Business Development and Marketing teams. Bring the various stakeholders together to help build collective mindshare in augmenting the AWS AI/ML/GenAI products. Establish mechanisms to measure and track metrics related to adoption of the AWS AI/ML/GenAI products, and execute improvements to the approach based on those measurements. Prepare and deliver business reviews to the senior management regarding the AWS AI/ML/GenAI business. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. AWS is committed to a diverse and inclusive workplace to deliver the best results for our customers. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status; we celebrate the diverse ways we work. For individuals with disabilities who would like to request an accommodation, please let us know and we will connect you to our accommodation team. BASIC QUALIFICATIONS 8+ years of customer-oriented experience, including enterprise sales, pre-sales, or solution architect experience. 3+ years of AI/ML, or other related technology or product background. Knowledge of cloud, big data, and machine learning, with technical selling experience. PREFERRED QUALIFICATIONS 1) Experience with artificial intelligence or machine learning product selling. 2) Knowledge of machine learning trends, typical scenarios, and common algorithms . 3) Experience with one or more general purpose programming languages - Knowledge of cloud services, such as AWS, Azure, GCP, etc. 4) Solid negotiation skills, and business and financial acumen. 5) Strong analytical skills, and demonstrated ability to turn detailed data analysis into useful strategic insight in order to drive customer adoption and make appropriate recommendations to the business. 6) Demonstrated ability to work effectively across internal and external organizations is key. 7) Experience writing articles (business and technical), speaking at technology conferences, or contributing to open source. Our inclusive culture empowers Amazonians to deliver the best results for our customers . click apply for full job details

Ind & Func AI Decision Science Manager Senior Level Full time Job Role: Data & Applied Intelligence Strategy Manager Location: London Accenture is a leading professional services company that provides a wide range of services including strategy and consulting, data and analytics, technology and operation services worldwide. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. Accenture's core values are deeply embedded in their culture and guide their actions and decisions. These values are reflected in their commitment to driving meaningful and transformational change for their clients, communities, and the wider world. We believe in inclusion and diversity and supporting the whole person. Our people help us deliver on the promise of technology and human ingenuity for our clients and talent is one of our most important areas of competitive differentiation. Our focus is on accessing, creating and unlocking people's potential to help them achieve their professional and personal aspirations. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team: Data & AI, the people who love using data to tell a story. We're also the world's largest team of data scientists, data engineers, and experts in machine learning and AI. Our focus is on big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything-spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. In this role you will: Join our team of strategic thinkers who are passionate about leveraging Data, AI, and GenAI to drive transformative change. We are dedicated to helping organisations navigate the complex landscape of Data & AI. Our mission is to empower businesses across various industries with strategic insights that unlock new opportunities, deliver imaginative new customer experiences, drive revenue growth and enhance operational effectiveness. If you're ready to embark on an exciting journey that blends strategy with real-world impact, we want you on our team! Lead a Team: Manage and mentor a cross-functional team, fostering a collaborative and high performance environment that encourages professional development and excellence in client delivery. Engage with Clients: Collaborate with clients to understand their business challenges and identify how Data & AI can drive strategic value across various industries, sectors, and functions. Manage Deliverables: Oversee client contractual deliverables at a project or workstream level, ensuring that all commitments are met on time and to the highest quality standards. Serve as an SME: Act as a Subject Matter Expert (SME) in various client engagements, providing insights and strategic recommendations based on Data & AI industry best practices. Develop Strategic Insights: Utilise your knowledge and understanding of industry trends and methodologies to provide strategic recommendations that align with clients' business objectives and enhance their competitive advantage. Facilitate Stakeholder Engagement: Build and maintain relationships with senior stakeholders, including C-suite executives, to effectively communicate the value of Data & AI initiatives and drive alignment on strategic priorities. Leverage Accenture Methods: Apply established frameworks and strategic methodologies to assess client needs, identify opportunities for improvement, and develop actionable plans for Data & AI implementation. Drive Innovation: Partner with our global and regional AI labs and studios, collaborating with cross-functional teams to discover innovative solutions and push the boundaries of what is possible with Data & AI. Represent Accenture: Represent Accenture at various internal, industry, and client events, showcasing our expertise in Data & AI. Craft Compelling Narratives: Develop engaging presentations and board papers that articulate complex insights in a clear and compelling manner, guiding senior client leadership in decision-making. Conduct Data Analysis: Analyse data sets to derive meaningful insights that support strategic decision-making for clients, utilising data visualisation tools and techniques to present findings effectively. Lead Impactful Discussions: Facilitate workshops and discussions with clients to explore innovative use cases for Data & AI, fostering collaborative ideation and problem-solving. Drive Practice Development: Lead the development of point of views, thought leadership and intellectual property within the Data & AI strategy space, enhancing our value proposition and building a strong professional community. Be a Team Player: Work collaboratively with colleagues across various functions, sharing knowledge and insights to drive collective success and foster a culture of innovation. Supply Chain & Operations Senior Manager (Fulfilment) Multiple Locations Senior Level Full time Senior Manager (Communications, Media, Software and Technology Industries) Learn more about the hiring process at Accenture

Senior ML Engineer, Generative AI Innovation Center Job ID: AWS EMEA SARL (Poland Branch) The Generative AI Innovation Center at AWS empowers customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency. As an Senior ML Engineer on our team, you will work with clients, partners and other AWS teams to drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS's custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients. As an Amazonian leader you will demonstrate the Amazon Leadership Principles, coaching and mentoring others on best practices, performance and career development. You must be comfortable leading others and driving work, rather than being part of the team. If you love to learn and want to innovate in the world of generative AI, Generative AI Innovation and Delivery is the right place for you. Key job responsibilities • Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency • LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF) • Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance • Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutions • Define path to production for generative AI solutions and implement large scale production generative AI solutions. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS • 5+ years of professional software development and machine learning experience • Proficiency in at least one programming language • Experience mentoring engineers, leading technical initiatives, or managing an engineering team • Hands-on experience with deep learning and machine learning methods (e.g., for training, fine tuning, and inference) • Experience with design, development, optimization and productionization of generative AI solutions, algorithms, or technologies PREFERRED QUALIFICATIONS • Bachelor's degree in Computer Science or equivalent • Hands-on experience with at least one ML library or framework • 2+ years of professional experience in developing, deploying or optimizing ML models in production • 5+ years of professional experience in the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Posted: March 7, 2025 (Updated about 2 months ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Join us as a AI/ML Data Scientist at Barclays where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. To be successful as an AI/ML Data Scientist, you should have experience with: Python programming aligned to data transformation, cleansing, data analytics, and natural language understanding/processing Working with large structured and unstructured data from multiple sources/logs/transcripts Excel (advanced i.e. macros/indexing/lookups) Proficient with SQL (or similar query languages) AWS Ecosystem (Lex, Connect, Cloudwatch, SageMaker, Bedrock) Interfacing with centralised data solutions i.e. data warehouse/data lakes Required Data Visualisation experience (configuration/implementing dashboards) ideally ESaaS/Kibana or similar i.e. Tableau, PowerBI, Qlik etc. Machine Learning & Deep Learning Knowledge Programming Good understanding of NLP techniques & model is crucial AWS ecosystem Other highly valued skills include: Data engineering/MLOps experience (building data pipelines) & Building chatbot experience AWS Connect, Bedrock, SageMaker & LEX ML libraries experience Base understanding of technology strategy including infrastructure estate, applications, cloud, digital, data, cyber, and GenAI technologies. Good understanding of governance, and operational matters including financials, workforce, controls, processes, and reporting. A demonstrated ability to easily identify and drive process efficiencies and automation opportunities to improve output. Good consulting skills, with demonstrated success working in collaboration with different teams across banking and in managing teams to deliver outputs. This role will be based out of our Northampton campus. Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. Accountabilities Identification, collection, extraction of data from various sources, including internal and external sources. Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science. Vice President Expectations Advise key stakeholders, including functional leadership teams and senior management on functional and cross-functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem-solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.

Sr. Machine Learning Engineer, Amazon Music Search We are looking for a highly-skilled Senior Machine Learning Engineer to lead the development and implementation of advanced technologies to push the boundaries of efficient training and inference for Deep Learning and Generative Artificial Intelligence (GenAI) models. As a machine learning engineer on the Amazon Music Search team, you will collaborate with scientists on developing and evaluating machine learning models (Search Relevancy & Ranking) using large datasets such as meta-data and search queries to improve the customer experience through better search results, or song sequencing. You will own scaling up successful prototypes and implementing a reliable automated production workflow for the model. You will collaborate with software development engineers to integrate the model with the customer experience. Key job responsibilities Lead the vision and architecture for AI-powered solution across search stack Collaborate closely with the applied scientists and software engineers to bring research to production Envision, lead, and support the development of novel ML systems, product integrations, and performance optimizations Lead, mentor, challenge and grow enthusiastic, collaborative software engineers and applied scientists across the organization About the team Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. Learn more at Amazon Music . BASIC QUALIFICATIONS 5+ years of non-internship professional software development experience 5+ years of programming with at least one software programming language experience 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS Master's degree in machine learning or equivalent Experience launching machine learning solutions in production Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit Accommodations for more information. Posted: February 6, 2025 (Updated about 3 hours ago) Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

AI Engineer Up to 95k + Bonus Location: London - 3 days a week in office My client is a leading financial services company who is in the process of growing their GenAI team. They are looking for an AI Engineer who will be an individual technical contributor to help build their NLP projects focusing on large language models. This role includes working the full life cycle from proof of concept to fine-tuning and deployment. Responsibilities: Identify where GenAI can be used to support the business and deliver measurable advantages. Collaborate with the Data Science and AI team to implement scalable AI applications. Improve and optimize the infrastructure by enhancing MLOps capabilities, CI/CD pipelines, user interfaces, and AI Python libraries. Develop effective prompts for AI models while fine-tuning them. Conduct thorough evaluations of third-party GenAI and LLM technologies. Take ownership of projects from initial research and development stages all the way through production deployment. Write production-ready code. What You Need to Succeed: Minimum of 3 years working as a Data Scientist or Machine Learning Engineer on machine learning projects. At least 2 years experience using LLMs. Strong background in Python. Exposure to MLOps including CI/CD, Docker, Kubernetes. Familiarity with software best practices. Experience working with non-technical stakeholders. Confident using AWS. Bonus if you have used Kafka, Databricks, and RAG. Unfortunately, sponsorship is not provided for this role. If you are interested, please apply here or reach out to .

Senior Data Scientist (GenAI) required for a London, globally known software business with hybrid working. I am working with a large Global software organisation to join their team in London, where you will be working on developing world-class products and services in a hugely innovative environment. The company: The organisation has been around for over 20 years and has over 1,000 members of staff. They operate across a very specific area of online sales and are a large-scale tech company. They have offices in London and Scotland and are continuing to grow and be productive. They are one of Scotland's best known tech organisations, and they thrive on a positive and welcoming culture, making it one of the best places to work. They are a hybrid organisation and ask all employees to be in office twice a week in London - what days those are, are flexible. You will join a team of 7 Engineers and Scientists to work together to guarantee smooth deployment, monitoring, and scaling of solutions in live production environments. The role: You will be utilising advanced technologies such as GenAI and recommender systems with the goal to enhance this content and build a leading platform for travel discovery. You will lead high-impact initiatives with an experimental approach. You'll be involved in the entire data science lifecycle, from defining problems and exploring data to developing and evaluating models. You will also work closely with engineering teams to ensure the smooth deployment, monitoring, and scaling of solutions in production environments. You will develop and implement advanced Generative AI and recommender system solutions to improve travel content and user experiences. This includes researching LLMs, multimodal models, and content-based filtering to personalise recommendations. As well as this you will be involved in designing evaluation frameworks to ensure content quality and relevance. You will collaborate with cross-functional teams to integrate AI-powered solutions into the Explore platform, optimise models for better content discovery, and support the deployment and maintenance of machine learning models in production. Staying updated on AI advancements; you'll continuously experiment with new methodologies to enhance the user experience. Key skills: Senior Data Scientist experience Commercial experience in Generative AI and recommender systems Strong Python and SQL experience Spark / Apache Airflow LLM experience MLOps experience AWS Additional information: This role offers a strong salary of up to 95,000 (Depending on experience / skill) with hybrid working (2 days per week in office). Additionally, they offer a range of employee benefits including a few different bonuses. This is an opportunity to work with one of the UKs best software businesses so if you think that you could be the right fit and this is the next step in your career, then please apply or contact Matthew MacAlpine at Cathcart Technology on (phone number removed).

Senior Data Scientist, Generative AI Innovation Center Job ID: AWS EMEA SARL (UK Branch) Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting-edge Generative AI algorithms to solve real-world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for ML Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities As an ML Data Scientist, you will: Collaborate with ML scientists and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges. Interact with customers directly to understand the business problem, help them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customers on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. About the team The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost-efficiently. BASIC QUALIFICATIONS Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Relevant experience in building large-scale machine learning or deep learning models. Experience communicating across technical and non-technical audiences. Experience in using Python and hands-on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet. Fluency in written and spoken English. PREFERRED QUALIFICATIONS PhD degree in Computer Science, or related technical, math, or scientific field. Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models. Proven knowledge of AWS platform and tools. Hands-on experience of building ML solutions on AWS. High impact thought leadership in AI/ML space through blog posts, public presentations, social media visibility, or publications. Posted: January 8, 2025 (Updated about 8 hours ago)

Senior Data Scientist, Generative AI Innovation Center DESCRIPTION Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for ML Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities As an ML Data Scientist, you will: Collaborate with ML scientists and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges. Interact with customers directly to understand the business problem, help and aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customers on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. BASIC QUALIFICATIONS Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Relevant experience in building large scale machine learning or deep learning models. Experience communicating across technical and non-technical audiences. Experience in using Python and hands-on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet. Fluency in written and spoken English. PREFERRED QUALIFICATIONS PhD degree in Computer Science, or related technical, math, or scientific field. Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models. Proven knowledge of AWS platform and tools. Hands-on experience of building ML solutions on AWS. High impact thought leadership in AI/ML space through blog posts, public presentations, social media visibility, or publications. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon.

Sr. GTM Specialist SA AIML GenAI UK, EMEA GTM Data and AI Solutions Architecture DESCRIPTION Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, GenAI and ML background, and sales skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) Data and AI team as a GTM Specialist Solutions Architect! The EMEA Go-To-Market (GTM) Specialist Solutions Architecture team is looking for a Machine Learning (ML) practitioner, who will guide customers innovating, operationalizing and building enterprise-grade platforms/solutions leveraging Generative AI/ML from proof-of-concept to production. AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. We work backwards from our customer's most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar business. This role helps customers providing GenAI/ML best practices, including techniques for responsible AI, model fine tuning, continued pre-training, PEFT, domain adaptation, model evaluation, mitigating hallucinations, prompt engineering, RAG, FM Ops, security, and other existing and emerging GenAI/ML related techniques. You will develop technical assets (reference architectures, whitepapers, workshops, demos, solutions, blog posts, field enablement) that can be used by AWS teams, partners and customers to demonstrate Generative AI/ML capabilities and how to operationalize their workloads. You will engage with AWS product teams to influence product roadmap and vision and accelerating the adoption of ML across customers in the region. In emerging areas, we play a critical role as the "first in" teams to build markets for new GenAI/ML services, or solutions. When a customer needs to innovate and requires a new way to leverage AWS, they count on us to innovate with them to build and deliver what they need. You must have a deep understanding of Generative AI models, including their strengths, limitations, risk and evaluation techniques. You should have hands-on Machine Learning experience to work directly with senior ML Engineers and Data Scientists at customers, partners and AWS service teams. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Key job responsibilities Represent the voice of the customer; collaborate with field and central teams to bring customer feedback to product teams. Lead curation of custom feature and availability requests for unique customer use cases. Provide advanced technical knowledge to your aligned GTM teams to unblock our customers' largest and most critical business challenges. Along with your extended team, own the technical bar for specialist technical artifacts and standards. Collaborate with your GTM colleagues to provide technical insights into GTM strategy and support field marketing to execute local technical events, campaigns, and customer engagements. Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc. Guide and Support an AWS internal community of technical subject matter experts aligned to your customers. Create field enablement materials for the broader SA population to help them understand how to integrate new AWS solutions into customer architectures. BASIC QUALIFICATIONS Experience design/implementation/consulting experience of distributed applications. Management of technical, customer facing resources. Experience with AI/ML or related technology domain. Hands-on experience with building ML/data pipelines, data engineering, or similar technologies. Experience Machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience. PREFERRED QUALIFICATIONS History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises. Experience migrating or transforming legacy customer solutions to the cloud. Familiarity with common enterprise services and working knowledge of software development tools and methodologies. Strong written and verbal communication skills with a high degree of comfort speaking with executives, IT Management, and developers. Experience working within software development or Internet-related industries. AWS Solution Architecture certification or relevant cloud expertise. Computer Science /relevant degree and/or experience highly desired. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

DESCRIPTION Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting-edge Generative AI algorithms to solve real-world problems with significant impact? The AWS Industries Team helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select, train, and fine-tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost-efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. In this Data Scientist role, you will be capable of using GenAI and other techniques to design, evangelize, implement, and scale cutting-edge solutions for never-before-solved problems. Key job responsibilities As a Senior Data Scientist, you will: Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges. Interact with customers directly to understand the business problem, aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customers on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. BASIC QUALIFICATIONS Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Master's degree. Experience working as a Data Scientist. Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent). Experience in machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance. Experience applying theoretical models in an applied environment. PREFERRED QUALIFICATIONS PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance. Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer). Prior experience in training and fine-tuning of Large Language Models (LLMs) and knowledge of AWS platform and tools or equivalent cloud experience. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.