Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Pega Developer

AKKA DEVELOPMENT UK LIMITED t/as Akkodis Group
Stevenage
6 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist - Decisioning

Data Steward/Data Scientist - KYC (m/f/d)

CompanyAkkodis is a global leader in engineering, technology, and R&D, harnessing the power of connected data to drive digital transformation and innovation for a smarter, more sustainable future. As part of the Adecco Group, Akkodis combines the expertise of AKKA and Modis, with over 50,000 engineers and digital specialists across 30 countries in North America, EMEA, and APAC. Our teams bring extensive cross-sector knowledge in critical technology areas such as mobility, software services, robotics, simulations, cybersecurity, AI, and data analytics, enabling clients to tackle complex challenges in todays rapidly evolving markets.With a comprehensive solution portfolio across four service linesConsulting, Solutions, Talents, and AcademyAkkodis supports clients from concept through to full-scale deployment and optimisation. Our diverse offerings help organisations rethink product development, accelerate productivity, reduce time-to-market, and prepare for the future. At Akkodis, youll join a dynamic environment that values continuous learning and global collaboration, where you can make a meaningful impact through innovative projects that shape the future of technology.ScopeAkkodis is launching a new technical delivery team to drive a UK national program in collaboration with key partners, designed to transform and future-proof the central governments workforce. By leveraging cutting-edge technology, strategic partnerships, and a comprehensive SaaS-based platform, this program will create an advanced, candidate-centric experience tailored to meet tomorrows public sector skill demands.This high-impact initiative offers a unique opportunity to join a team dedicated to building a scalable, data-driven recruitment ecosystem. Through redesigning, building, and rolling out a sophisticated Big Data system, our diverse roles span across architecture, project management, data analytics, development, and technical support, giving you the chance to shape a dynamic, next-gen digital infrastructure.Youll be integral to our mission of crafting a seamless, powerful platform that empowers the public sector with the talent to navigate an evolving digital landscape.RoleWe are seeking a skilled Pega Developer for role to design and implement scalable Business Process Management (BPM) solutions using the Pega Platform. The role involves developing and customising applications with Pega PRPC, integrating systems via APIs (SOAP, REST), and enhancing functionality with SQL, JavaScript, and XML.ResponsibilitiesCertification and Technical ExpertiseRelevant Pega certification (e.g., Certified System Architect (CSA), Certified Senior System Architect (CSSA), or Certified Pega Decisioning Consultant (CPDC)).Project Delivery:Demonstrable experience delivering projects within Agile methodology frameworks.Ability to work with Product Owners to develop requirements, solution concepts, and prototypes.Effective in driving discussions and translating business needs into technical specifications.Cloud and Systems Expertise:Practical experience working with cloud systems and application servers.Strong background in application development and managing integration points.Required SkillsDevelop and implement scalable Pega Platform solutions, ensuring efficiency and high performance.Customise Business Process Management (BPM) applications to meet organisational needs.Optimise application performance using Pega Tracer and other debugging tools.Integrate Pega applications with external platforms via SOAP, REST APIs, OAuth2, and LDAP.Work with SQL, JavaScript, XML, and JQuery to enhance application functionality and usability.Develop automated workflows using Robotic Process Automation (RPA) to increase efficiency.Implement and manage security features such as Role-Based Access Control (RBAC) and Single Sign-On (SSO).Ensure secure authentication and access management with OAuth2 and LDAP.Work collaboratively with cross-functional teams to understand business needs and design tailored Pega solutions.Build reusable Pega PRPC components to streamline development and reduce redundancy.Maintain detailed documentation covering technical specifications, best practices, and troubleshooting guides.Conduct code reviews, following Pega development best practices and standards.Support testing and troubleshooting activities to ensure the delivered solutions align with business requirements.Required ExperienceExperience in modern DevOps practices, including CI/CD pipelines.Development in

Applicant Tracking Systems (ATS)Familiarity with cloud-native architectures and technologies.Strong mentoring skills to support junior team members development.Knowledge of other BPM or related technologies.Proven ability to manage large-scale Pega implementations and enterprise transformations.Required educationBachelor's degree in Computer Science, Information Systems, or equivalent experience.

TPBN1_UKTJ

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.