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ServiceNow IRM/GRC Lead Developer
Location: Edinburgh or London (Hybrid – 2 days onsite/week)
Duration: 3 month rolling contract (Outside IR35)
Our client, a growing ServiceNow partner, are hiring a Lead ServiceNow Developer to join the team on a 3-month rolling contract in London or Edinburgh. The successful candidate will lead delivery across multiple enterprise-level IRM (GRC) projects in sectors including insurance, banking, and asset management.
Responsibilities
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Lead development, manage user stories, and guide junior developer.
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Coordinate with cross-functional team to deliver high-quality solutions.
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Take on light architecture responsibilities and solution design.
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Ensure best practices and scalable configurations across the platform.
Skillset
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Strong hands-on ServiceNow IRM/GRC experience (certification required).
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Confident in leading development and interfacing with business stakeholders.
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Able to own delivery across a project lifecycle.
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Experience in financial services environments is a plus.
Interested? Apply below or contact ailsa@alldus.com for more information.



Responsibilities
- Serve as a strategic advisor, ensuring alignment between client business objectives and the ServiceNow platform.
- Facilitate client workshops to develop roadmaps, enhance processes and champion best practices.
- Partner with technical teams to translate business needs into effective ServiceNow solutions.
- Lead the gathering and documentation of business requirements through structured stakeholder collaboration.
- Oversee and refine user stories following Agile methodologies and ServiceNow development standards.
- Support all stages of Agile delivery, including sprint planning, demonstrations, quality assurance, and retrospectives.
- Coordinate user acceptance testing (UAT), create training documentation and conduct end-user training sessions.
- Drive continuous improvement by contributing to the company’s Centre of Excellence.
- Assist with pre-sales efforts such as proposal development, solution demonstrations and requirements gathering.
Skillset
- Minimum of 4 years of hands-on ServiceNow experience, with a solid emphasis on ITSM.
- Proven track record of delivering implementations involving at least one additional ServiceNow product suite, such as SPM, ITOM, SAM/HAM, HRSD or CSM.
- Demonstrated expertise in leading client-facing ServiceNow workshops.
- Strong consultative abilities, capable of influencing stakeholders at all levels, from technical teams to executive leadership.
- ServiceNow CSA certification is required; CIS-ITSM certification or higher is a plus.
Benefits
- Competitive Salary.
- Comprehensive benefits package.
- Remote working options.
Responsibilities
- Design and fine-tune both open source and proprietary large language models (LLMs) for tasks including summarization, reasoning, planning and question answering.
- Build and enhance advanced Retrieval Augmented Generation (RAG) pipelines featuring embedding fine-tuning, hybrid search, reranking and knowledge graph integration.
- Develop autonomous AI agent workflows that support proactive and adaptive decision-making.
- Utilize reinforcement learning methods (such as PPO, DPO, GRPO) to continuously improve model performance.
- Create evaluation frameworks and define metrics to rigorously assess model effectiveness.
- Deploy AI models into production environments with a focus on low latency, reliability and scalability.
- Work closely with product and engineering teams to deliver comprehensive AI-powered financial solutions.
Skillset
- Master’s or Bachelor’s degree with at least 5 years of professional experience in applied AI/ML engineering.
- Demonstrated success in delivering generative AI products utilizing LLMs and autonomous agent workflows.
- Practical expertise with LLM fine-tuning methods (such as LoRA), inference frameworks (including vLLM) and sophisticated RAG pipelines.
- In-depth understanding of reinforcement learning fine-tuning techniques and associated frameworks.
- Early-stage startup experience is an advantage.
Benefits
- Salary: $190k - $225k DOE.
- Remote working.
- Comprehensive health, dental and vision coverage.
- Retirement benefits.



Our client, an exciting HealthTech company, are hiring a Senior Full Stack Engineer to join the team in New York. The successful candidate will play a key part in designing and building the backend systems that drive their AI-powered patient engagement platform, as well as lead engineering initiatives to create scalable infrastructure and deploy machine learning solutions that deliver real-time impact on patient outcomes.
Responsibilities
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Develop and maintain scalable backend services and APIs that support the AI-driven platform.
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Design and manage infrastructure for deploying and monitoring LLM-based applications.
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Partner with ML engineers to integrate conversational AI and predictive models.
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Lead the architecture of a flexible backend system that grows with data and product demands.
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Establish and manage CI/CD pipelines, automated testing and deployment processes.
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Write secure, efficient and maintainable code in line with engineering best practices.
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Create reusable components and libraries to streamline development workflows.
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Leverage cloud services (GCP, Azure, AWS) to build scalable and cost-effective infrastructure.
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Conduct code reviews and help define engineering standards.
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Identify, troubleshoot, and resolve system performance and reliability issues.
Skillset
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At least 5 years of experience in full stack development, with a minimum of 2 years in a senior engineering role.
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Proven ability to build early-stage products from concept to launch, and scale them successfully.
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Proficient in Node.js, Python, React, Express and relational database technologies.
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Practical experience or strong enthusiasm for integrating LLMs into production environments.
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Expertise in designing scalable and maintainable system architectures.
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Solid understanding of Clean Code principles, test-driven development (TDD), and CI/CD workflows.
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Familiarity with Docker, Kubernetes, and modern DevOps practices.
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Knowledge of AI/ML deployment workflows, A/B testing frameworks, and monitoring tools.
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Demonstrated leadership in driving engineering projects to successful delivery.
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Industry experience in healthcare technology is a bonus.
Benefits
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Salary: $160k - $175k
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Equity.
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Remote and flexible working options.
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Health, dental and retirement package.
Responsibilities
- Develop and sustain reliable systems for training, deploying and scaling AI models.
- Build and enhance workflows for data preparation, model training, evaluation and deployment.
- Identify and resolve performance bottlenecks to ensure smooth operation for thousands of users and contributors.
- Automate infrastructure provisioning, deployment and monitoring following DevOps best practices.
- Collaborate closely with researchers and developers, both within the company and across our open-source community.
- Contribute to the development and direction of their open-source platform and foundational AI models.
Skillset
- Extensive experience in infrastructure engineering, DevOps or cloud-native environments.
- Deep understanding of machine learning principles and practical experience with end-to-end ML workflows.
- Proficient in Python and skilled in best practices for software development.
- Practical knowledge of cloud platforms such as AWS, Google Cloud or Azure.
- Experience with distributed computing and designing scalable systems.
- Enthusiasm for open-source development and active participation in community-driven projects.
Benefits
- Salary: $100K - $220K DOE.
- Equity.
- Comprehensive health, dental and vision insurance.
Responsibilities
- Lead research efforts in LLMs and VLMs, covering model development, evaluation, optimization and benchmarking.
- Shape the strategic direction of open-source AI/ML innovation within the organization’s platform.
- Publish impactful research in leading academic venues.
- Build and nurture academic partnerships to strengthen the company’s global open research community.
- Mentor and guide team members, encouraging a culture rooted in scientific excellence and open collaboration.
Skillset
- PhD degree in Computer Science or a related field, with a specialization in AI/ML.
- Proven track record of publications in leading AI/ML conferences and journals.
- Demonstrated leadership in driving research initiatives and managing complex technical projects.
- Expert-level proficiency in machine learning, with hands-on experience in PyTorch, LLMs and VLMs.
- Strong commitment to open source and a passion for building in the open through community collaboration.
Benefits
- Salary: $160K–$220K DOE.
- Equity.
- Comprehensive health, dental and vision insurance.
- Hybrid working with offices in Seattle, WA and Palo Alto, CA.