43 joburi disponibile

Technical Product Manager Dublin Hybrid Permanent 120k + 20% bonus + 12% pension + family health cover + share scheme amongst others. The ideal candidate will have a strong background in the investment management domain, with a broad understanding of the various instrument asset classes including derivatives, direct trading, and portfolio management/order management (OMS) platforms. The TPM will work closely with business users, stakeholders, and technology teams to ensure the successful delivery of innovative and efficient solutions. What can you expect: To work on a very high-profile initiative, with visibility of key stakeholders and senior leadership. The opportunity to join our Dublin team at the start of an exciting strategic initiative. To work in an inclusive, collaborative and innovative team of highly skilled individuals. What you need to have: Bachelor's degree in a relevant field (eg, Computer Science, Finance, Business Administration) is required. Advanced degree preferred. Proven track record in TPM roles, demonstrating strong business analysis, project management, and stakeholder engagement skills. Strong communication skills, both written and verbal, with the ability to effectively communicate complex technical concepts to non-technical stakeholders at various levels of the organization, including senior management on both the tech and operations sides. Experience in projects involving both vendor and in-house built technology solutions in the investment technology space. Ability to work independently and drive execution within a global team with excellent time management and organizational skills.  Proficiency in both Agile and traditional project management models, with a solid understanding of relevant tools and practices. Certifications in project or agile management disciplines are a strong plus. Demonstrate the ability to work independently and drive execution within a global team, which may be geographically dispersed. Communicate effectively with stakeholders at all levels, including senior management, to provide updates and gather feedback. What makes you stand out: Extensive experience in the investment management industry with experience across the Investment Management technology architecture. Experience with State Street Alpha, Charles River, Risk/Analytics Platforms (eg PORT, Factset, Yield Book), or Jacobi are a plus. Knowledge of an OCIO business. Experience working in global projects that span across regions. We will rely on you to: Utilize investment management business domain experience to understand and address the unique needs of OCIO Business. Apply TPM skills and business analysis techniques to gather requirements, define product roadmaps, and prioritize feature development. Manage projects from initiation to completion, ensuring timely delivery and adherence to budget and quality standards. Engage with investment teams and stakeholders to understand their requirements and provide effective solutions. Work with both vendor and in-house built technology solutions in the investment technology space. Leverage experience in the support needs of an investment management firm to address operational challenges and optimize processes and design proper support models. Adapt to both Agile and traditional project management models, utilizing relevant tools and practices to ensure project success. Assist in the rationalization of regional business technical needs vs the strategic Target Operating Model architecture aiming to re-use technology were appropriate. Support the International region in the pursuit of innovation by representing technology withing related local forums and initiatives. Work withing the broader Investment and Technology organizations partner with colleagues to ensure that the OCIO business needs are clearly communicated and prioritized, and that any issues or risks are raised with the OCIO Executive team as and when they arrive.

AI Engineer Location: London, UK Company: Shivom Consultancy Ltd A bout Us We're a forward-thinking tech company on a mission to build intelligent, scalable solutions that solve real-world problems. Our team is made up of engineers, designers, and innovators who thrive on collaboration, experimentation, and continuous learning. Whether we're developing cutting-edge software, architecting cloud infrastructure, or launching user-centric products, we're united by a shared passion for impactful technology and clean, elegant code. We believe in autonomy with accountability, flexible work environments, and creating space for every team member to grow and lead. If you're excited by meaningful challenges and want to build things that matter, we'd love to meet you. Role Overview We're looking for a skilled and curious AI Engineer to join our growing team. In this role, you'll design, develop, and deploy machine learning models and AI-driven systems that power our products and services. You'll work closely with data scientists, software engineers, and product teams to bring intelligent features to life-whether that's building NLP pipelines, optimizing recommendation systems, or applying cutting-edge research to real-world challenges. This is a hands-on role where you'll contribute across the entire ML life cycle, from data preprocessing and model training to production deployment and performance tuning. If you're excited about solving complex problems with AI and thrive in a fast-paced, collaborative environment, we'd love to hear from you. Responsibilities: Model Development: Design, develop, and deploy AI and machine learning models to solve business challenges. Data Analysis: Work with large datasets to extract insights and train machine learning models. Algorithm Implementation: Implement and optimize algorithms for AI applications, ensuring efficiency and scalability. Research: Stay up-to-date with the latest advancements in AI and machine learning, and apply these to ongoing projects. Collaboration: Collaborate with data scientists, software engineers, and other stakeholders to integrate AI solutions into products and services. Testing and Validation: Test and validate AI models to ensure accuracy, robustness, and reliability. Deployment: Manage the deployment of AI models in production environments, monitoring performance and making necessary adjustments. Documentation: Document AI models, processes, and findings for future reference and reproducibility. Performance Monitoring: Continuously monitor and evaluate AI models to improve their performance over time. Innovation: Identify opportunities to innovate and improve existing AI solutions and processes. Essential criteria: Educational Background: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience: Minimum of 3 years of experience in AI engineering or a related role. Technical Skills: Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Machine Learning Knowledge: Strong understanding of machine learning algorithms, neural networks, and deep learning techniques. Analytical Skills: Excellent analytical and problem-solving skills, with the ability to work with complex datasets. Communication Skills: Strong written and verbal communication skills, with the ability to explain AI concepts to non-technical stakeholders. Team Collaboration: Proven experience working in a collaborative, team-oriented environment. Project Management: Ability to manage multiple projects and meet deadlines effectively. Attention to Detail: High level of accuracy and attention to detail. Desired Criteria Advanced Expertise: Experience with deploying AI models in production environments and optimizing for scalability and performance. Innovative Mindset: Passion for staying up-to-date with the latest AI research and emerging technologies, and applying them creatively to solve business challenges. Data Engineering: Familiarity with data pipelines, ETL processes, and working knowledge of databases and big data technologies. Software Development Practices: Experience with version control (eg, Git), containerization (Docker), and CI/CD pipelines in an AI context. Domain Knowledge: Exposure to industry-specific applications of AI (eg, healthcare, finance, or E-commerce) is a plus. Mentorship: Ability and willingness to mentor junior engineers and contribute to a culture of continuous learning. Problem Framing: Strong skills in translating ambiguous business problems into clear AI-driven solutions. Adaptability: Comfortable working in a fast-paced, agile environment with evolving priorities. Ethical AI Awareness: Understanding of AI ethics, bias mitigation, and responsible AI deployment principles. Progression Opportunities As an AI Engineer, you'll have a well-supported growth path with opportunities to deepen your technical expertise and expand your impact across projects and teams. Depending on your interests, you can progress into more advanced roles such as Senior AI Engineer, AI Solutions Architect, Machine Learning Lead, or Technical Product Owner for AI initiatives. You'll be encouraged to take ownership of increasingly complex systems, contribute to strategic AI decisions, and mentor junior team members. We support certifications, attendance at industry events, and the freedom to explore new tools and approaches that shape the future of our AI capabilities. Company Culture Our culture is built on openness, learning, and shared purpose. We encourage collaboration across disciplines and believe diverse thinking leads to stronger, more innovative outcomes. Everyone here contributes to our direction, and we aim to make sure every voice is heard and valued. Benefits: Competitive salary Health and wellness benefits Professional development opportunities Collaborative and innovative work environment Application Process: Interested candidates are invited to submit their CV and cover letter to (see below) Shivom Consultancy Ltd is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Head of Product Hybrid, 3 days per week (Durham) £70,000 - £90,000 B2B SaaS Xpertise Recruitment have partnered with a SaaS business looking simplify and automate the way billing in their industry is managed. The platform is scaling fast, the customer base is growing, and product is central to where they're going. In this role you will own the design and delivery of the product function. This will be a heavily customer centric role, whilst driving strategy, shaping the roadmap with senior leadership, and getting into detail with design and engineering to make sure you focus on solving the right problems Why this should be of interest: You'll have real autonomy to continue to build and lead the product function You'll work across design, delivery, and release, not siloed off from tech or the customer. There's budget, buy-in, and appetite to modernise how product works. You'll help shape how the team scales. You'll join a collaborative, fast-moving business that values pragmatism and good decision-making over process for the sake of process. What you'll be doing: Leading the product function, including design and delivery across the business Manage a team of POs and PMs (5-6) Aligning with engineering leads, senior business stakeholders and delivery managers to keep work moving Driving the definition of epics, features and use cases in a way that makes sense to both business and tech Making sure the product roadmap is grounded in business and user value What they're looking for: Significant Product experience in a SaaS or tech-led business Line management experience, ideally overseeing a function Someone who's confident managing complex requirements and delivery cycles, without losing sight of the end user Strong communication skills are essential, able to align senior stakeholders, but also collaborate with engineers A clear thinker who understands how to balance short-term delivery with long-term strategy For more information or a full job spec please apply now or contact the job poster directly!

Head of Enterprise Architecture Permanent Dublin City Centre Full time in the office 5 days a week. Office is based off St Stephens Green - Dublin 2 The Head of Enterprise Architecture is a newly established leadership role integral to shaping the organization's future architecture. This position will spearhead the Enterprise Architecture team, driving capability establishment and scaling across the entire organization. As a pivotal leadership role, it demands strong managerial skills and extensive stakeholder engagement across senior levels within the organization. Responsibilities: Enterprise Architecture Leadership: Directing and overseeing Enterprise Architecture practices throughout the organization. Framework Establishment: Driving the development and maintenance of Architecture principles, policies, standards, and frameworks. Standardization Advocate: Ensuring technological standardization across the organizational landscape. Architecture Review Board Oversight: Setting up, operating, and optimizing the Architecture Review Board, aligning it with governance structures. Technology Communities Leadership: Leading organization-wide technology-focused communities of practice. Emerging Technology Enablement: Innovating new architecture patterns to support emerging technologies like Cloud, Data, and AI. Thought Leadership: Providing strategic thought leadership in technology, innovation, cost optimization, and efficiency improvements. Strategic Technology Strategy: Collaborating with business and technology leadership to craft a comprehensive technology strategy. Team Leadership: Leading, motivating, and aligning the team's performance with strategic objectives, employing talent management strategies. Budget Oversight: Contributing significantly to annual planning and budgeting, overseeing significant IT investments. Education & Qualifications: Educational Background: Degree in Engineering, Computer Science, or related technology field, or equivalent work/education experience. Certifications: Architecture-related certificates (TOGAF, Zachman, etc.). Change Management Expertise: Proven experience as a Change Agent, leading organizations through strategic change and promoting the adoption of new technologies through effective change management. Enterprise Architecture Proficiency: Extensive experience in developing, leading, and implementing Enterprise Architecture practices across software development, application, and infrastructure technologies in large complex organizations. Technological Expertise: Expertise in modern software development practices, infrastructure, cloud, application, and enterprise architecture. Risk Management Knowledge: Deep understanding of IT governance, operational risk, product, and service life cycles. Stakeholder Influence: Ability to influence key senior stakeholders, aligning IT strategy with business value. Leadership Skills: Proven track record in leadership, talent acquisition, team motivation, effective delegation, and performance enhancement. Business and Technology Collaboration: Ability to partner with senior business and technology leaders, connecting technology and business goals for successful outcomes. Process Management Knowledge: Understanding of business process management, workflow, and integration methods/tools.