Responsibilities: Work with the client and engineering support teams to identify and quantify processes that may be automated. Define cost-effective solutions for automation using Robotics Process Automation (RPA), ArtificialIntelligence technology, and other common tools. Create demos and presentations to show potential solution costs and benefits. Implement automated solutions and conduct regular reviews to improve efficiency. Qualifications … of REST API concepts, event management, and cross-tool connectivity. Candidates should understand how process tools may connect and share process event data. Basic data analysis knowledge. SQL and AI skills are a plus. Expertise in scripting and automation tools, specifically PowerShell. Soft Skills: Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Familiarity with Agile and Scrum More ❯
business-critical work. In this role, you will be aligned to a specific product or platform space within Bloomberg's engineering organization. These may include: ArtificialIntelligence (AI) Enterprise Products Enterprise Data Tools & Platforms Terminal Products Internal Applications & Bloomberg Web, Arts and Media Platform and Technical Infrastructure You'll partner with Product Managers, Engineers, and Data Partners to … We'd love to see: An understanding in the finance and data domain An understanding of large scale software or system infrastructure An understanding of some key technologies behind AI (ML, LLM, time-series, etc) Certified Scrum Master or Certified Scrum Professional (CSM or CSP) Experience in leading or being part of Agile transformation in an organization that previously followed More ❯
artificialintelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and More ❯
size: c. 40, a mix between UK-based and offshore (within Europe) We are seeking an accomplished and forward-thinking VP Technology to lead at the intersection of data, AI and scalable systems. This is a critical leadership role with both strategic and operational scope, offering the opportunity to shape the next phase of our technology evolution. The successful candidate … you'll be responsible for people leadership, engineering culture, technical architecture and delivery. You'll guide a talented and highly engaged team through a transformative journey, scaling systems, embedding AI and modernising the stack, while keeping quality and agility at the forefront. What you'll be doing: Setting and delivering the technology strategy across products and internal systems Building a … high-performance culture within our capable engineering team Leading architectural decisions across our data-centric stack Implementing AI where it adds true value, improving outcomes and industrialising this AI Managing both onshore and offshore teams, ensuring collaboration and engagement Collaborating closely with leadership to align tech vision with business strategy Balancing innovation with pragmatism, scaling capability not just headcount You More ❯
project need: functional testing, regression testing, API testing, integration testing, security testing, performance testing, contract testing. Develop and execute test plans and test cases to ensure the quality of AI/ML applications. Implement and maintain automated testing framework for UI, API and AI/ML solutions. Participate in the benchmark testing to ensure high data quality. Mentor junior testers … is a plus. Technical Skills: Proficiency in UI and API test automation tools like cypress, cucumber, postman, pytest. Experience in automated and manual testing in Azure environments, particularly for AI/ML applications. Good understanding of AI concepts and technologies, like LangSmith, LangGraph, OpenAI Knowledge of performance and security testing. Familiarity with continuous integration and continuous deployment (CI/CD … eligible for UK visa sponsorship. The Team IQVIA NLP is a leading provider of Natural Language Processing solutions focussed on Human Data Science. NLP is a foundational technique for AI and ML and a critical enabler for IQVIA's Connected Intelligence solutions and the delivery of clinical trials and studies. IQVIA NLP is an acknowledged leader in this space More ❯
action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized … customer interactions and sales lifecycle in a technical pre-sales capacity. You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background You will be working with our largest customers across all vertical sectors, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice. You will enjoy … customer needs and navigate a competitive landscape. Nice to have: Databricks Certification Up to 60% travel to London offices and customer site About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and More ❯
Biggleswade, Bedfordshire, United Kingdom Hybrid / WFH Options
Kramp
At Kramp, we are driving innovation by accelerating the adoption of AI across our organization, increasing productivity, and transforming the way our teams work: faster, easier, and more automated through the development of lightweight GenAI applications. We're looking for a Data Analyst who is ready to speak the language of data to drive transformation, especially in the context of … deploying GenAI-powered tools across the business. Your role: You will lead the end-to-end analysis and interpretation of complex data sets to uncover insights that drive our AI-powered innovation. You'll design and deliver data solutions that support GenAI application development, working closely with engineers and business stakeholders to translate needs into actionable insights. Your role involves … and models, and ensuring data-driven decisions accelerate productivity and strategic goals. By bridging the technical and business worlds, you'll empower teams to rapidly prototype, validate, and scale AI solutions across the organization. Your responsibilites: Analyze and interpret complex data sets to extract actionable insights that support AI-driven innovation and strategic decision-making. Collaborate closely with engineers, product More ❯
primary product, The Signal Ocean Platform, enables shipping professionals to securely handle, integrate, and assess intricate collections of private and public shipping data. Driven by advanced machine learning and artificialintelligence, our technology suite provides tailored, exclusive insights that supports our clients in improving performance and efficiency. Insights are delivered over web and mobile applications, as well as … Redis, Docker, Kubernetes, Service Fabric, Grafana and more. We also offer the opportunity to work on state-of-the-art architectures and technology stacks, as well as a global, ArtificialIntelligence-powered technology product vision. We use Dual-track Agile to organize our teams and would love to onboard people who can contribute across product discovery, delivery, optimization More ❯
for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end ArtificialIntelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we … develop solutions for modernization, from ArtificialIntelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has More ❯
for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end ArtificialIntelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we … develop solutions for modernization, from ArtificialIntelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has More ❯
key delivery metrics (utilization, velocity, quality, margin, etc.). Collaborate with sales and presales teams for solution design, effort estimation, and proposal support. Must have a strong understanding of AI trends and technologies, and be hands-on with prompt engineering for AI tools and platforms. Ability to translate business needs into AI-driven technical solutions where applicable. Excellent communication, stakeholder … Git, Bitbucket), and repository management Strong grasp of performance monitoring, SLA tracking, and delivery analytics Experience in handling white-label/B2B delivery environments across multiple domains Understanding of AI/ML workflows, tools, and trends, including hands-on experience with prompt engineering for tools like ChatGPT, Claude, or similar LLM platforms Non-Technical Skills Required Exceptional client relationship management … conflict resolution abilities Strategic thinking with a focus on long-term delivery planning and team scalability Time management and prioritization skills in high-pressure, deadline-driven environments High emotional intelligence and the ability to navigate team dynamics and diverse personalities Problem-solving mindset with a calm, solution-oriented approach to challenges Strong decision-making abilities with sound judgment and More ❯
for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end ArtificialIntelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we … develop solutions for modernization, from ArtificialIntelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has More ❯
our next Data Scientist at Senior Consultant level to join our Belfast Centre of Excellence? Who You Are: You have 3-4 years' experience in delivering scalable Analytics and AI solutions in large, complex organisations, with a focus on end-to-end delivery of advanced analytics and AI initiatives. You like to solve problems and data is your raw material. … You architect and build solutions to issues by applying analytics and AI techniques to client data. You translate complex business problems into a roadmap of technical tasks, utilising a variety of tools, capabilities and technologies. You are comfortable working with data of all kinds, from structured data to free text, images and video. You have built a specialist skill set … into compelling narratives for clients and stakeholders and are comfortable contributing to presentations and client-facing materials. You enjoy working in multi-disciplinary teams, including data engineers, data scientists, AI specialists and business and process SMEs. You understand that delivery is a team sport and work collaboratively to achieve sustainable results, while learning from and mentoring your colleagues. You have More ❯
in an increasingly data-centric world. Key Responsibilities Translate business requirements into technical specifications, roadmaps and deliverable data solutions, including data streams, integrations, transformations, databases, data warehouses, and business intelligence, reporting and analytical platforms. Define the data architecture framework, standards and principles, including modelling, metadata, security and data virtualisation. Support the Head of Data Engineering to develop and enhance … level education (SCQF level 9) or equivalent experience, ideally in a technical field such as Computer Science, Mathematics or Physics. Azure Data Engineer Associate certification or higher OR Azure AI Engineer Associate certification or higher. Desirable Significant exposure to Azure utilising some of the following: Azure Synapse Analytics, Azure SQL, Azure Data Factory, Azure Data Lake, Azure DevOps and PowerBI. … Azure Data Engineer Associate certification or higher OR Azure AI Engineer Associate certification or higher. Experience implementing solutions using Microsoft Fabric. Terms and Benefits Normal full-time hours of work are 35 per week. We will consider flexible working arrangements. A flexi-time system is in operation. Annual leave entitlement of 26.5 days pro-rata, rising to 30 days pro 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 More ❯
AI, Computational Actuarial Science, Data Science Analysing, cleaning and processing historical data Processing large and complex volumes of data Researching models (such as GLMs, regression trees, random forest, etc) using historic data relevant to insurance claim prediction Testing models and evaluating performance across various algorithms, using company data Developing research and commercial objectives for the company related to improving pricing … Computational Actuarial Science, Computer Sciences or related disciplines. Desirable PhD in Data Science, Statistics, Computational Actuarial Science or related fields. Knowledge and Experience Practical and theoretical knowledge of computational intelligence/machine learning algorithms for predictive modelling and forecasting Processing and aggregation of heterogeneous data streams based on structured/unstructured data Practical and theoretical knowledge of mathematical and More ❯
based in London. We are developing quantum processors based on industrial-grade silicon chips, with the potential to radically transform computing power in areas such as materials modelling, medicine, artificialintelligence and more. Our office in Islington has state of the art cryogenic facilities and an outstanding interdisciplinary team spanning quantum physics to IC design. The Cloud Engineering More ❯
a direct line into the C-suite. The group is undergoing a data transformation journey, bringing previously siloed teams together under a centralised data model, with growing investment in AI and machine learning. You’ll be a key influencer in setting the strategic direction for Data Science & AI across the group, supporting adoption, building capability, and enabling commercial impact. Day … to-day responsibilities include: Leading a small, growing data science team operating across multiple brands Acting as a strategic advisor to C-suite stakeholders, advocating for AI and data-driven decision making Working closely with innovation and product teams to identify and deliver impactful ML and AI use cases Supporting the rollout of an AI-powered platform that automates insights … and trends from structured and unstructured data Overseeing predictive machine learning initiatives and data science best practices across the group Steering AI governance efforts in collaboration with a newly hired governance lead Representing the data science agenda at group level and aligning teams across different countries and operating models Candidate requirements: Proven experience leading data science teams at group or More ❯
a direct line into the C-suite. The group is undergoing a data transformation journey, bringing previously siloed teams together under a centralised data model, with growing investment in AI and machine learning. You’ll be a key influencer in setting the strategic direction for Data Science & AI across the group, supporting adoption, building capability, and enabling commercial impact. Day … to-day responsibilities include: Leading a small, growing data science team operating across multiple brands Acting as a strategic advisor to C-suite stakeholders, advocating for AI and data-driven decision making Working closely with innovation and product teams to identify and deliver impactful ML and AI use cases Supporting the rollout of an AI-powered platform that automates insights … and trends from structured and unstructured data Overseeing predictive machine learning initiatives and data science best practices across the group Steering AI governance efforts in collaboration with a newly hired governance lead Representing the data science agenda at group level and aligning teams across different countries and operating models Candidate requirements: Proven experience leading data science teams at group or More ❯
a direct line into the C-suite. The group is undergoing a data transformation journey, bringing previously siloed teams together under a centralised data model, with growing investment in AI and machine learning. You’ll be a key influencer in setting the strategic direction for Data Science & AI across the group, supporting adoption, building capability, and enabling commercial impact. Day … to-day responsibilities include: Leading a small, growing data science team operating across multiple brands Acting as a strategic advisor to C-suite stakeholders, advocating for AI and data-driven decision making Working closely with innovation and product teams to identify and deliver impactful ML and AI use cases Supporting the rollout of an AI-powered platform that automates insights … and trends from structured and unstructured data Overseeing predictive machine learning initiatives and data science best practices across the group Steering AI governance efforts in collaboration with a newly hired governance lead Representing the data science agenda at group level and aligning teams across different countries and operating models Candidate requirements: Proven experience leading data science teams at group or More ❯
a direct line into the C-suite. The group is undergoing a data transformation journey, bringing previously siloed teams together under a centralised data model, with growing investment in AI and machine learning. You’ll be a key influencer in setting the strategic direction for Data Science & AI across the group, supporting adoption, building capability, and enabling commercial impact. Day … to-day responsibilities include: Leading a small, growing data science team operating across multiple brands Acting as a strategic advisor to C-suite stakeholders, advocating for AI and data-driven decision making Working closely with innovation and product teams to identify and deliver impactful ML and AI use cases Supporting the rollout of an AI-powered platform that automates insights … and trends from structured and unstructured data Overseeing predictive machine learning initiatives and data science best practices across the group Steering AI governance efforts in collaboration with a newly hired governance lead Representing the data science agenda at group level and aligning teams across different countries and operating models Candidate requirements: Proven experience leading data science teams at group or More ❯
As a Software Engineer at Gpeto Planning AI, you will play a critical role in designing, developing, and maintaining the software solutions that power our AI-driven products. You will work closely with our team of AI/ML engineers, urban planning specialists, and other software developers to create robust, scalable, and efficient applications that transform the planning application process. … and Development: Develop high-quality software solutions that meet the needs of our users, including planning applicants and local authorities. Collaboration: Work closely with cross-functional teams to integrate AI algorithms and planning regulations into our software products. Testing and Debugging: Write clean, maintainable code and conduct thorough testing to ensure reliability and performance. Optimization: Optimize applications for maximum speed More ❯
banking and society. THE ROLE We are seeking a visionary and hands-onPrincipal Data Scientistto lead the design, development, and deployment of cutting-edgeAI/ML solutionsacross our Banking AI portfolio. This role is central to Temenos' AI strategy, delivering responsible, high-impact models that transform how banks operate and serve their customers. You will work closely with product managers … engineers, and domain experts to build scalable, ethical, and high-performing AI systems. You will also mentor data scientists, contribute to AI governance, and drive innovation in areas such as GenAI, LLMs, and predictive analytics. OPPORTUNITIES AI Strategy & Innovation Lead research and prototyping of novel AI techniques, including GenAI and LLMs, for banking use cases. Define and drive the AI …/ML roadmap in alignment with product and business goals. Champion responsible AI practices, ensuring fairness, transparency, and compliance. Model Development & Deployment Design, build, and deploy production-grade AI/ML models for banking, across retail, risk and compliance, payments, wealth. Collaborate with engineering and design to integrate models into scalable, cloud-native and on-prem systems. Establish best practices More ❯
As a DevOps Engineer at Gpeto Planning AI, you will be instrumental in managing and enhancing our infrastructure to ensure smooth deployment, scalability, and reliability of our AI-driven applications. You will work closely with our development and operations teams to streamline our CI/CD processes, automate workflows, and optimize our cloud environments. Key Responsibilities Infrastructure Management: Design, implement … systems to ensure high availability and performance of our applications. Security: Ensure robust security practices and compliance throughout our infrastructure and deployment processes. Collaboration: Work closely with software engineers, AI/ML engineers, and other stakeholders to support development and operations needs. Automation: Automate repetitive tasks and improve overall efficiency through the use of scripting and configuration management tools (Ansible More ❯
managers, data scientists, and business stakeholders Mentor and support junior engineers, helping to grow technical capability within the team Stay up-to-date with developments in data science and AI (e.g., LLMs, agentic AI), and integrate this thinking into product delivery Communicate clearly and confidently to both technical and non-technical audiences Ideal Candidate Profile Technical Experience 5–7 years … Experience in fast-paced or start-up environments where you’ve contributed across the stack Background & Education Degree in a quantitative or technical field (e.g., Computer Science, Mathematics, Physics, AI) Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineering Bonus: awareness of modern AI tooling (e.g., LLMs, Hugging Face) and an enthusiasm … and work well with product teams If you're looking to join a business that's serious about building modern, intelligent software solutions - and want to help define how AI and data products are built in a complex, regulated industry - we’d love to hear from you. More ❯
