201 to 225 of 6,390 Permanent AI Jobs

to shape and deliver the Technology Innovation and GenAI roadmap. This role blends hands-on engineering with strategic exploration, focusing on the practical application of emerging technologies — particularly Generative AI — to solve real business challenges. As part of a multidisciplinary team, the Innovation Engineer will lead the design, prototyping, and early-stage development of innovative solutions, helping to inform and … ready where appropriate. Lead infrastructure and environment setup for innovation projects, including CI/CD pipelines and cloud environments. Support the development of data pipelines, processing, and storage for AI/ML workloads. Monitor and evaluate model performance, accuracy, and resource utilisation. Champion delivery best practices across the team including AI Governance, EDA alignment and SDLC compliance Contribute to the … rollout of successful innovations across wider business functions and applications. Support the development of AI literacy across the Group, coaching stakeholders and co-developing new ways of working. Stay current with technology trends and GenAI developments, bringing fresh thinking and insight to the team. Drive knowledge sharing across the team including lessons learnt in PoCs, platform specialisms, and providing guidance More ❯

to shape and deliver the Technology Innovation and GenAI roadmap. This role blends hands-on engineering with strategic exploration, focusing on the practical application of emerging technologies — particularly Generative AI — to solve real business challenges. As part of a multidisciplinary team, the Innovation Engineer will lead the design, prototyping, and early-stage development of innovative solutions, helping to inform and … ready where appropriate. Lead infrastructure and environment setup for innovation projects, including CI/CD pipelines and cloud environments. Support the development of data pipelines, processing, and storage for AI/ML workloads. Monitor and evaluate model performance, accuracy, and resource utilisation. Champion delivery best practices across the team including AI Governance, EDA alignment and SDLC compliance Contribute to the … rollout of successful innovations across wider business functions and applications. Support the development of AI literacy across the Group, coaching stakeholders and co-developing new ways of working. Stay current with technology trends and GenAI developments, bringing fresh thinking and insight to the team. Drive knowledge sharing across the team including lessons learnt in PoCs, platform specialisms, and providing guidance More ❯

process management tools such as JIRA, Target process, Trello or similar Nice to Have: ● Familiarity with data security, privacy, and compliance frameworks ● Exposure to machine learning pipelines, MLOps, or AI-driven data products ● Experience with big data platforms and technologies such as EMR, Databricks, Kafka, Spark ● Exposure to AI/ML concepts and collaboration with data science or AI teams. … Experience integrating data solutions with AI/ML platforms or supporting AI-driven analytics More ❯

role is pivotal in driving the adoption of scalable, secure, and modern technologies across their global network of businesses. You'll design and prototype digital solutions using cloud platforms, AI, VR/AR, Edge AI, and other emerging technologies. The work will span both strategic, group-wide initiatives and hands-on delivery for individual businesses - blending engineering depth with innovative … Senior Solutions Architect to design scalable and secure solutions that deliver measurable business value. Work with development teams across the group to implement strategic initiatives, including in-house Generative AI platforms. Design and build Proofs of Concept and prototypes using cloud services, AI, VR/AR, and Edge AI technologies. Provide hands-on technical guidance, promoting best practices in software … of cloud-native development experience (ideally Azure). 5+ years of software engineering, ideally with C# and/or Python. Strong experience with cloud services (Azure App Services, Functions, AI Services). Proficiency in REST APIs, microservices, and event-driven architectures. Skilled in Git-based version control (GitHub/Azure DevOps) and CI/CD tools (Azure DevOps, GitHub Actions More ❯

process management tools such as JIRA, Target process, Trello or similar Nice to Have: ● Familiarity with data security, privacy, and compliance frameworks ● Exposure to machine learning pipelines, MLOps, or AI-driven data products ● Experience with big data platforms and technologies such as EMR, Databricks, Kafka, Spark ● Exposure to AI/ML concepts and collaboration with data science or AI teams. … Experience integrating data solutions with AI/ML platforms or supporting AI-driven analytics More ❯

The company We are a rapidly growing startup developing solutions that blend human expertise and AI agents to handle manual customer and marketplace operations tasks. Our unique approach combines the strengths of human expertise (high accuracy and nuanced decision-making) with the advantages of AI automation (speed and cost efficiency). This cutting-edge technology helps businesses solve real-world … challenges in trust & safety and beyond without complex technical integration. We believe in an online world free from harm, where we can trust AI to make safe and fair decisions. We have raised about $25M in VC funding from top tier funds including Creandum and Plural, and operate at significant scale - analysing millions of daily images and videos. But we … very excited about our plans for growth over the coming year and beyond! The role We are now looking for a Machine Learning Engineer to build and deliver innovative AI products to our customers. Your software expertise and machine learning knowledge will help transform our customers' manual processes into AI automated solutions. Your mission will be to ensure our customers More ❯

the-art machine learning, natural language processing and generative AI. About the Role: Applied Scientists are experts in NLP and Machine Learning, responsible for the design and delivery of AI solutions that enhance Thomson Reuters' products. They leverage model training and evaluation design, graph-based AI, and information retrieval techniques, and prompting workflows, to build and optimize solutions. Their work … ensures AI technologies are effectively aligned with business objectives, driving product innovation and value. As an Applied Scientist, you will: Work as part of a team to develop and deploy live production systems. Independently determine appropriate data and modelling choices. Operate in an agile way using quick iterations guided by customers' needs. Provide input on project objectives and goals. Communicate … effectively with stakeholders. Partner with Engineering to ensure well-managed software delivery. Be an NLP expert with experience in the end-to-end AI development life cycle. About You: You're a fit for the role of Applied Scientist if your background includes: PhD in a relevant discipline or Master's plus a comparable level of experience 3+ years of More ❯

all business systems. Define and continuously evolve the architectural vision, strategy, and roadmap for the centralized enterprise platform that unifies CCM platforms, ERP (D365 F&O), CRM (D365 Sales), AI, and Data Analytics ecosystems. Lead the end-to-end design and delivery of cloud-native, event-driven, microservices architectures across AWS, Azure, and hybrid environments. Architect AI-powered communication orchestration … in enterprise software engineering and architecture, including 8+ years in architectural leadership roles. Proven success in designing and delivering large-scale, TOGAF-compliant enterprise platforms integrating CCM, CRM, ERP, AI, and Data Analytics solutions. Deep expertise in cloud-native architectures, microservices, DevOps, security, and compliance frameworks, with hands-on experience in cross-domain integrations (finance, communication, analytics). Strong ability … GitHub, Bitbucket, TeamCity, Prometheus, Grafana, SonarQube Databases: PostgreSQL, Oracle, MySQL, MongoDB, MS SQL Server Automation & RPA: UiPath, Power Automate Enterprise Integration: Microsoft Dynamics 365 (CRM & F&O), Power Platform AI & Data Analytics: Azure OpenAI, Copilot, Power BI, Synapse Analytics, Microsoft Fabric Testing & Documentation: JMeter, Automated Testing Frameworks, HLD/LLD/TSD Documentation, JIRA, Confluence, ServiceNow More ❯

uniting science, technology, and talent to get ahead of disease together. Role/Project Overview At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer … side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI, as well as extensive safety and robustness evaluations. We’re looking for a highly skilled full stack engineer to help us make this vision a reality. Competitive candidates will have a track record of writing … and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in More ❯

uniting science, technology, and talent to get ahead of disease together. Role/Project Overview At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer … side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI, as well as extensive safety and robustness evaluations. We’re looking for a highly skilled full stack engineer to help us make this vision a reality. Competitive candidates will have a track record of writing … and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in More ❯

uniting science, technology, and talent to get ahead of disease together. Role/Project Overview At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer … side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI, as well as extensive safety and robustness evaluations. We’re looking for a highly skilled full stack engineer to help us make this vision a reality. Competitive candidates will have a track record of writing … and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in More ❯

Do you want to work on real-world deployments of cutting-edge machine learning models, including Large Language Models (LLMs)? Aveni is redefining how AI works for financial services. Our purpose-built, vertically integrated platform combines proprietary Language Models (FinLLM), intelligent AI Agents, and targeted solutions like Aveni Assist and Aveni Detect. We partner with leading financial institutions to deliver … scalable, secure, and compliant AI-powered solutions that create measurable value across advice, compliance, and operations. We're looking for a motivated DevOps Engineer, eager to help us deploy and maintain machine learning models, especially Large Language Models (LLMs), in production environments. If you have solid DevOps experience and are keen to grow your MLOps skills, we’d love to … they meet 100% of requirements, but we’d like to hear from you anyway. Apply now to join us on our mission to transform the financial services industry through AI More ❯

Azure/Databricks Data Engineer - Birmingham Reference Code: -en_GBContract Type: PermanentProfessional Communities: Data & AI The Job You're Considering The Cloud Data Platforms team is part of the Insights and Data Global Practice and has seen strong growth and continued success across a variety of projects and sectors. Cloud Data Platforms is the home of the Data Engineers, Platform … dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations. Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those … Azure services. Develop and maintain secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data. Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leverage Databricks ML and Azure ML to develop predictive models and drive business insights. Monitor and optimize data pipelines and infrastructure More ❯

and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. Introducing Machine Learning and AI at Trainline Machine learning is at the heart of Trainline's mission to help millions of people make sustainable travel choices every day. Our ML models power critical aspects of … and recommendations capabilities across our mobile and web applications Pricing and routing optimisations to find the best fares for customers Personalised user experiences enhanced by Reinforced Learning Agents & Generative AI Data-driven digital marketing systems AI agents improving customer support Our machine learning teams own the complete delivery lifecycle from ideation to production. We work closely with stakeholders across the … business to expand the understanding and impact of machine learning and AI throughout Trainline. The Role We are looking for a Junior Machine Learning Engineer to join our team help shape the future of train travel. You will be part of a highly innovative AI and ML platform working alongside engineers, scientists and product managers to tackle complex challenges by More ❯

intelligent,human-centered technology. We're looking for a talented and experienced Senior Fullstack Developer to play a pivotal role in the development and growth of a brand-new AI recruitment platformas it prepares to enter the market this summer. This is a rare opportunity to take a product from Beta launch to full market release and beyond, shaping its … product owners, UX/UI designers, and other stakeholders to translate requirements into technical solutions. Champion agile ways of working, driving continuous improvement and deliver excellence. Integrate and optimize AI tools and APIs to enhance development productivity and platform capabilities. Provide technical mentorship and leadership to development teams, fostering best practices in coding, testing, and deployment. Participate in code reviews … stack development using: TypeScript (and JavaScript frameworks such as NextJS, Node, or Tailwind) Python (including frameworks like Django, Flask, or FastAPI) PostgreSQL and relational database design, optimisation, and maintenance. AI Development Tools such as Windsurf, Aider or Augment. Demonstrable experience building and scaling SaaS platforms in a production environment. Strong understanding and practical application of Agile software development methodologies. Hands More ❯

dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations. Your Role Design and build high-performance data platforms: Utilize Databricks and Apache Spark to extract, transform, and load data into … delivery of secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data. Abilty to Design, Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leverage Databricks ML and Azure ML to develop predictive models and drive business insights. Dsign, Monitor and optimize data pipelines and … breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. More ❯

dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations. Your Role Design and build high-performance data platforms: Utilize Databricks and Apache Spark to extract, transform, and load data into … delivery of secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data. Abilty to Design, Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leverage Databricks ML and Azure ML to develop predictive models and drive business insights. Dsign, Monitor and optimize data pipelines and … breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. More ❯

influencing stakeholders to ensure your team's work is aligned with our business goals, while championing our commitment to responsible innovation and ensuring that principles of fairness and ethical AI are at the core of everything your team creates. What will you bring to the team? Hard skills: Technical Expertise: Advanced proficiency in data science, machine learning, and/or … grasp of software development best practices (testing, git, code reviews). Real-Time Systems Experience : Experience with real-time data integration and machine learning frameworks is highly beneficial. Modern AI Acumen : Familiarity with the principles and applications of modern AI, including Large Language Models (LLMs) and generative AI, is a strong plus. Domain-Specific Knowledge : A solid understanding of forecasting More ❯

Snowflake Data Engineer Location: Central London office space by Mansion House/Cannon Street/Monument (EC4V) Transform lives through data and AI Who we are: We deliver powerful data and AI solutions that minimise operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional … talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today’s leading technology providers - such as Databricks, Snowflake and Collibra … consultants to upskill, access mentoring opportunities, and build their professional networks. Through this partnership, we’ve also supported mission-critical pro bono projects to improve lives through data and AI, including research into women’s health and safety. More ❯

Snowflake Data Engineer Location: Central London office space by Mansion House/Cannon Street/Monument (EC4V) Transform lives through data and AI Who we are: We deliver powerful data and AI solutions that minimise operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional … talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today’s leading technology providers - such as Databricks, Snowflake and Collibra … consultants to upskill, access mentoring opportunities, and build their professional networks. Through this partnership, we’ve also supported mission-critical pro bono projects to improve lives through data and AI, including research into women’s health and safety. More ❯

Snowflake Data Engineer Location: Central London office space by Mansion House/Cannon Street/Monument (EC4V) Transform lives through data and AI Who we are: We deliver powerful data and AI solutions that minimise operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional … talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today’s leading technology providers - such as Databricks, Snowflake and Collibra … consultants to upskill, access mentoring opportunities, and build their professional networks. Through this partnership, we’ve also supported mission-critical pro bono projects to improve lives through data and AI, including research into women’s health and safety. More ❯

Snowflake Data Engineer Location: Central London office space by Mansion House/Cannon Street/Monument (EC4V) Transform lives through data and AI Who we are: We deliver powerful data and AI solutions that minimise operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional … talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today’s leading technology providers - such as Databricks, Snowflake and Collibra … consultants to upskill, access mentoring opportunities, and build their professional networks. Through this partnership, we’ve also supported mission-critical pro bono projects to improve lives through data and AI, including research into women’s health and safety. More ❯

Snowflake Data Engineer Location: Central London office space by Mansion House/Cannon Street/Monument (EC4V) Transform lives through data and AI Who we are: We deliver powerful data and AI solutions that minimise operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional … talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today’s leading technology providers - such as Databricks, Snowflake and Collibra … consultants to upskill, access mentoring opportunities, and build their professional networks. Through this partnership, we’ve also supported mission-critical pro bono projects to improve lives through data and AI, including research into women’s health and safety. More ❯

scalable and reliable cloud applications. Utilize data science and analytics to enhance application functionality and performance. Work with the data team to create and deploy machine learning models and AI-driven solutions for real-world applications. Monitor and maintain application performance, ensuring high availability and reliability. Mentor and guide other developers, fostering a culture of continuous learning and improvement. Develop … to escalate when necessary/appropriate, and problem solve Preferred Qualifications: Experience in manufacturing, retail or hospitality industries. Knowledge of other programming languages and frameworks. Interest and experience with AI solution engineering Interest and experience of data analytics and data pipelines. BENEFITS BAKED IN Free food and drink when working 50% off food and drink when not working 25 days More ❯

collaborate with data engineers, software engineers, data scientists, and business stakeholders Your Impact Enable transformative business decisions through robust, scalable data architectures Drive adoption of modern data platforms and AI-enabled analytics solutions Establish technical standards and architectural patterns that ensure quality, security, and maintainability Help cultivate a data-driven culture within client organisations and internally Deliver architectures that seamlessly …/Delta Lake or other modern data storage formats Experience with streaming architectures using Kafka, Event Hubs, or Kinesis for real-time data processing Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores and MLOps pipelines Experience processing and managing unstructured data types (text, images, logs, sensor data) Understanding of Lambda and Kappa architectural patterns … systems Knowledge of and/or experience with Government Digital Service practices across Discovery/Alpha/Beta/Live phases Understanding of vector databases and similarity search for AI applications Experience with Infrastructure as Code and modern DevOps practices Knowledge of how to design and analyse operational logs for data processing, and triage incidents Awareness of advances in AI More ❯