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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

  • Lead development, manage user stories, and guide junior developer.

  • Coordinate with cross-functional team to deliver high-quality solutions.

  • Take on light architecture responsibilities and solution design.

  • Ensure best practices and scalable configurations across the platform.



Skillset

  • Strong hands-on ServiceNow IRM/GRC experience (certification required).

  • Confident in leading development and interfacing with business stakeholders.

  • Able to own delivery across a project lifecycle.

  • Experience in financial services environments is a plus.



Interested? Apply below or contact ailsa@alldus.com for more information.

Our client, a growing ServiceNow Partner, are hiring a Senior ServiceNow Business Process Consultant to join their team in New York. The successful candidate will lead client stakeholders and executives in developing strategic roadmaps, optimising the ServiceNow platform and aligning business processes across the ServiceNow ecosystem.


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.
Our client, a leading Fintech company, are hiring a Staff Machine Learning Engineer to join their Applied AI team remotely. The successful candidate will be responsible for developing and deploying AI-powered multi-agent systems, human-in-the-loop co-pilots, specialized financial models and seamless legacy system integrations to automate processes, improve workflows and optimize existing financial technologies.


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

  • Develop and maintain scalable backend services and APIs that support the AI-driven platform.

  • Design and manage infrastructure for deploying and monitoring LLM-based applications.

  • Partner with ML engineers to integrate conversational AI and predictive models.

  • Lead the architecture of a flexible backend system that grows with data and product demands.

  • Establish and manage CI/CD pipelines, automated testing and deployment processes.

  • Write secure, efficient and maintainable code in line with engineering best practices.

  • Create reusable components and libraries to streamline development workflows.

  • Leverage cloud services (GCP, Azure, AWS) to build scalable and cost-effective infrastructure.

  • Conduct code reviews and help define engineering standards.

  • Identify, troubleshoot, and resolve system performance and reliability issues.



Skillset

  • At least 5 years of experience in full stack development, with a minimum of 2 years in a senior engineering role.

  • Proven ability to build early-stage products from concept to launch, and scale them successfully.

  • Proficient in Node.js, Python, React, Express and relational database technologies.

  • Practical experience or strong enthusiasm for integrating LLMs into production environments.

  • Expertise in designing scalable and maintainable system architectures.

  • Solid understanding of Clean Code principles, test-driven development (TDD), and CI/CD workflows.

  • Familiarity with Docker, Kubernetes, and modern DevOps practices.

  • Knowledge of AI/ML deployment workflows, A/B testing frameworks, and monitoring tools.

  • Demonstrated leadership in driving engineering projects to successful delivery.

  • Industry experience in healthcare technology is a bonus.



Benefits

  • Salary: $160k - $175k

  • Equity.

  • Remote and flexible working options.

  • Health, dental and retirement package.

Our client, an exciting AI-driven company, are hiring a Machine Learning Engineer to join the team in Seattle, Washington or Palo Alto, California. The successful candidate will be instrumental in building and scaling the infrastructure behind the company’s open AI platform, leveraging strong platform engineering skills and a solid machine learning background to support everything from training workflows to production deployment.


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.
Our client, an AI-driven company, are hiring a Generative AI Research Lead to join the team in Seattle, Washington or Palo Alto, California. The successful candidate will lead impactful AI research initiatives, work closely with internal engineering teams and a global network of academic partners, and play a key role in defining the technical direction of the company’s platform and community-driven efforts.


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.