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Our client, an exciting Series B FinTech Startup, is hiring a Staff Machine Learning Engineer to join the team remotely. The successful candidate will design and deploy advanced machine learning models to help build interpretable, high-performing and scalable solutions leveraging data from AWS and Snowflake environments to drive impactful, data-informed decisions.
Responsibilities-
Designing, developing and deploying machine learning models to support predictive analytics across key fintech applications.
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Collaborating closely with cross-functional teams, including Data, Engineering and Product, to deliver integrated, data-driven solutions.
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Ensuring high model performance and reliability through robust data pipelines and scalable infrastructure.
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Converting model outputs into actionable insights that drive business strategy and financial inclusion outcomes.
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Mentoring and supporting fellow team members to promote a culture of technical excellence and collaboration.
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Championing best practices in MLOps, data governance and regulatory compliance across the ML lifecycle.
Skillset-
PhD or Master’s degree in Computer Science, Mathematics, Statistics or similar.
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10+ years of relevant experience in applying AI/ML techniques within the financial services or fintech sectors.
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Extensive experience developing and deploying machine learning models for tasks such as classification, regression and forecasting.
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Strong programming proficiency in Python and SQL.
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Hands-on experience with AWS, particularly SageMaker and Bedrock, for model training, deployment and fine-tuning.
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Familiarity with model lifecycle tools like MLflow, SageMaker Model Registry or similar platforms.
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Practical experience using PyTorch, Scikit-learn and Generative AI models.
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Knowledge of Large Language Models (LLMs) and frameworks such as Hugging Face, LangChain or Mirascope.
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Solid understanding of cloud-based data architecture, including Snowflake, Amazon S3 and PostgreSQL.
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Background working in FinTech, PropTech or startup environments is a bonus.
Benefits-
Salary: $200,000 - $235,000.
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Equity.
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Remote working.
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Comprehensive health, dental, and vision insurance.
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401(k).
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Lead .NET Backend Engineer
Location: Nashville, Tennessee or Atlanta, Georgia
Our client, a Healthtech company using AI to improve the Patient-Clinician experience and reduce Clinician burnout is looking to hire a Lead .Net Engineer.
You'll be working on core infrastructure that powers the real-time AI platform working on area like API dev, database and endpoint
architecture, new features and integrations with EHR/EMR systems.
Using tools like .Net Core, C#, SQL/NoSQL and the Azure cloud functions.
You will also get to work in a collaborative and autonomous high-impact environment helping to contribute to architectural decisions and supporting more Junior members with coaching.
What else is in it for you?- Comp: $150-175k
- Work style: Hybrid (2-3 days in office )
- Benefits: healthcare, pension etc.
What do you need to be successful?- Experienced in leading .Net dev teams as a Tech Lead or a Senior ready to take the step up.
- Expert in .Net backend work like API development, database and endpoint architecture, new features and integrations with EHR/EMR systems
- Experienced in using the Azure suite functions.
- Wants to be highly autonomous and working on high impact work that puts the customer at the heart.
*Please note, Visa Sponsorship, C2C , C2H is not available at the time.
For more information click apply or email me at anthonyh@alldus.com
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Our client, a growing AI-driven startup, is hiring a a Staff Platform Engineer to join the team in California. The successful candidate will design and scale their core infrastructure, driving projects that improve system reliability, boost developer efficiency and elevate operational standards within their talented engineering team.
Responsibilities-
Design and build scalable backend systems that support complex data labeling workflows, enable real-time collaboration, and incorporate large language model (LLM) capabilities.
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Lead infrastructure initiatives focused on deployment, observability and performance optimization within a cloud-native environment.
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Develop secure, modular APIs and services that seamlessly integrate with both internal tools and customer-facing applications.
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Work closely with engineers, product managers and data operations teams to advance the company’s platform features and capabilities.
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Establish and maintain observability best practices - including logging, metrics, tracing and health monitoring - to deliver an exceptional developer experience.
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Guide architectural decisions involving service decomposition, asynchronous processing, scaling strategies and high-availability systems.
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Take ownership of the reliability and performance of critical services, including distributed task routing, model integrations and data pipelines.
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Mentor engineering team members in creating scalable, maintainable systems using contemporary engineering best practices.
Skillset-
Minimum of 8 years’ experience in backend or platform engineering, preferably within fast-growing SaaS or AI infrastructure companies.
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Proficient in Python programming, with hands-on experience using frameworks such as FastAPI.
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Strong expertise in cloud platforms (AWS, GCP or Azure), including container orchestration technologies like Docker and Kubernetes, and Infrastructure as Code tools such as Terraform.
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Experienced with SQL databases (e.g. PostgreSQL) and event-driven messaging systems (e.g. Kafka, RabbitMQ, Redis Streams).
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Well-versed in CI/CD pipelines, automated testing and deployment methodologies for large-scale production environments.
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Demonstrated ability to troubleshoot complex distributed systems, identify performance bottlenecks and build robust, resilient architectures.
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Comfortable working in early-stage, dynamic environments, taking initiative to identify and solve high-impact challenges.
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Experience integrating large language models (LLMs), working with ML/AI infrastructure or contributing to data labeling platforms is a plus.
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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.
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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-
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-
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.
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Our client, an exciting AI-driven company, are hiring a Software Engineer to join the team in Palo Alto, California or Seattle, Washington. The successful candidate design, develop and manage the essential platform services that drive the company’s products and play a key role in shaping and scaling their technical foundation.
Responsibilities- Design and build scalable, maintainable platform systems from the ground up.
- Develop robust backend services and APIs mainly with Python and using Rust for performance-critical components.
- Work closely with frontend teams on integrations using JavaScript and TypeScript.
- Automate infrastructure deployment using modern DevOps tools and Infrastructure as Code practices.
- Provide technical leadership by establishing best practices and guiding architectural decisions.
- Own features end-to-end, from initial concept through to production release.
Skillset- Proven experience in software development, with strong Python backend skills.
- Demonstrated success building systems from the ground up in fast-paced environments.
- Proficiency in JavaScript/TypeScript and modern frontend frameworks.
- Experience with Rust, or a willingness to learn it for performance-critical tasks.
- Hands-on familiarity with cloud platforms such as AWS, GCP or Azure.
- Experience with containerization using Docker and orchestration with Kubernetes.
- Strong system design skills, including designing clean APIs and scalable architectures.
- A DevOps mindset, with expertise in CI/CD pipelines, monitoring and observability.
- Excellent communication and teamwork skills.
- Passion for open-source and active contribution to community-driven projects.
Benefits- Salary: $100K - $220K DOE.
- Equity.
- Comprehensive health, dental and vision insurance.
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Our client, a leading global Fintech company, is hiring an AI Platform Engineer to join their team in The Netherlands. The successful candidate will be responsible for supporting and scaling high-performance computing (HPC) and storage systems across both on-premises and cloud environments, playing a key role in advancing the company’s research infrastructure.
Responsibilities- Architect, maintain and scale high-performance computing (HPC) and storage solutions across both on-premises and cloud environments.
- Collaborate with global teams to diagnose and resolve infrastructure challenges across operating systems, storage and networking.
- Champion innovation by exploring and implementing emerging technologies to enhance research infrastructure.
- Oversee and optimise a range of compute resources, including CPUs, GPUs and other specialised processing units.
- Work closely with software engineers to deliver seamless, high-performance platforms that power advanced research initiatives.
Skillset- Minimum of 5 years of experience in data engineering.
- Strong, hands-on experience with Databricks, especially in a production environment
- Solid expertise in Linux-based systems and environments.
- Hands-on experience with Infrastructure as Code tools, such as Ansible and Terraform.
- Working knowledge of cloud platforms like AWS, GCP or Azure.
- Genuine interest in high-performance computing and solving complex system-level challenges.
- Proven ability to diagnose and resolve issues across various layers of infrastructure.
- Effective communicator and team player, comfortable working in cross-functional and globally distributed teams.
Benefits- Salary: $250k - $300k.
- Performance Bonus.
- 401(k) matching up to 50%.
- Health, dental, vision, mental health, disability and life insurance.
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Our client, an AI-led company transforming the healthcare sector, is hiring a Senior Backend Software Engineer to join their team remotely in the U.S. The successful candidate will architect and develop critical backend systems that manage, process and analyze clinical data at scale, while collaborating with cross-functional teams to build impactful, innovative solutions.
Responsibilities-
Architect, build and deploy backend services and functionalities that drive the company’s clinical AI platform.
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Work closely with cross-functional teams to gather user insights and continuously refine innovative features.
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Uphold patient privacy and security by applying secure coding standards and best practices.
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Investigate and promote enhancements in system architecture, workflows, and engineering methodologies.
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Provide ongoing support and maintenance for the organization’s production applications.
Skillset-
Bachelor’s or Master’s degree in Computer Science, Engineering or similar.
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At least 5 years of experience in software development, primarily focused on backend and cloud-native solutions.
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Deep proficiency in Python programming.
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Hands-on experience with Postgres or comparable relational databases.
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Demonstrated expertise in designing and implementing cloud-native distributed systems and event-driven architectures.
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Strong collaboration skills, working closely with product managers to plan, build and refine features.
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Experience working in environments with strict security and privacy requirements.
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Previous experience at a high-growth or scale-up technology company.
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Familiarity with health tech, especially hospital billing systems, is a plus.
Benefits-
Salary: $180,000 - $230,000 base salary
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Equity.
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Remote from anywhere in the U.S., with a $400 home office setup grant.
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Medical, Dental & Vision Insurance.
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Maximo Architect
Location: Remote
Employment: 12-month contract
Our client, an IT Services and Consulting organization, are hiring a Maximo Architect to join the team remotely on a 12-month contract. The successful candidate will leverage their deep IBM Maximo expertise and Electric utilities experience to design and deliver scalable solutions to drive continuous value for customers.
Responsibilities-
Take ownership of designing and delivering scalable Maximo solutions that meet business needs.
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Develop and execute strong technical strategies in close collaboration with Product and Engineering teams.
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Build enterprise-level applications prioritizing performance, security and long-term maintainability.
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Ensure ongoing value by driving continuous improvement within a product-focused environment.
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Collaborate effectively across product, engineering and business teams to align goals and deliver results.
Skillset-
Demonstrated expertise in designing and architecting solutions using IBM Maximo EAM (v7.6+) and Maximo Application Framework (v9+).
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Background working in startup or rapidly scaling companies.
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Solid knowledge of database systems including DB2, Oracle, and SQL Server.
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Practical experience building high-performance mobile applications for both iOS and Android platforms.
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Proficient with cloud environments such as AWS, GCP or Azure, along with containerization technologies.
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Experience integrating AI, machine learning and generative AI models into enterprise solutions.
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Comprehensive understanding of software architecture principles, design patterns and industry best practices.
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Skilled in applying data security and privacy protocols within enterprise systems.
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Proven ability to lead and collaborate effectively in a remote-first working environment.
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Our client, a leading Digital Transformation Consulting company, are hiring a Senior ServiceNow Developer to join the team remotely on a contract basis. The successful candidate will play a key role throughout the entire software development lifecycle, including estimation, technical design, implementation, deployment and ongoing support.
Responsibilities-
Oversee technical planning activities and facilitate requirements gathering sessions.
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Architect, develop, test and implement tailored ServiceNow solutions.
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Provide technical leadership and mentorship to development team members.
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Foster collaborative relationships with cross-functional teams and client stakeholders.
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Drive continuous improvement and optimization of the ServiceNow platform.
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Convert wireframes and conceptual designs into scalable, effective technical solutions.
Skillset-
Bachelor’s degree in Computer Science, Management Information Systems, Engineering or similar.
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Minimum of 7 years of hands-on experience in ServiceNow development.
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Demonstrated success implementing solutions across ITSM, ITOM and ITAM.
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Deep understanding of ITIL practices, CMDB architecture and the Common Service Data Model (CSDM).
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Extensive experience with ITOM Discovery (both on-premises and cloud), Service Mapping, Event Management, and IT Asset Management using SAM Pro and HAM Pro.
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Proficient in scripting and integrations using Glide API, JavaScript, REST and SOAP.
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Skilled in developing dashboards and reports, with a focus on Performance Analytics.
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Solid grasp of networking principles and cloud computing technologies.
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Exceptional communication skills and a strong ability to produce clear technical documentation.
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Strong client engagement and consulting experience, with a proven ability to deliver in customer-facing roles.
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Our client, a global IT organization, is hiring a ServiceNow ITOM Architect to join their Canadian team remotely on a contract basis. The successful candidate will enjoy the opportunity to lead major ITOM implementations, work closely with both business and technical stakeholders, and help define innovative strategies that align with broader enterprise objectives.
Responsibilities-
Take ownership of the end-to-end architecture, design and deployment of ServiceNow ITOM solutions, with a focus on modules such as Discovery, Service Mapping, Event Management, Orchestration and CMDB.
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Analyze client requirements and translate them into scalable, strategic ITOM solutions that align with business goals.
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Implement robust ITOM solutions across diverse environments, including cloud, hybrid and on-premises infrastructures.
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Configure and optimize MID Servers, probes, sensors and patterns to enable accurate and efficient infrastructure discovery.
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Architect and implement integrations between ServiceNow ITOM and external systems, including monitoring platforms, cloud services and third-party CMDBs.
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Lead architectural reviews to ensure alignment with ServiceNow best practices, ITIL standards, and client-specific policies.
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Provide mentorship, guidance, and ITOM expertise to junior consultants, developers and cross-functional teams.
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Design and maintain reusable components, templates and frameworks to enhance delivery efficiency and standardization.
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Manage ITOM project lifecycles from planning through execution, ensuring alignment with defined timelines, scopes, and budgets.
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Continuously monitor industry trends and advancements within the ServiceNow ITOM space, recommending enhancements and innovations.
Skillset-
Minimum of 7 years’ experience in IT Operations Management, including at least 4 years of hands-on work with ServiceNow ITOM solutions.
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Demonstrated success in architecting and delivering complex, enterprise-scale ITOM implementations.
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In-depth expertise across key ServiceNow ITOM modules, including Discovery, Service Mapping, Event Management, Orchestration and CMDB.
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Strong technical knowledge of MID Server architecture, probe configuration and integration with external systems.
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Practical experience working with major cloud platforms such as AWS, Azure and/or Google Cloud Platform.
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Skilled in JavaScript, Glide scripting and web services integrations using REST and SOAP.
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Preferred certifications include ServiceNow Implementation Specialist – ITOM or Discovery.
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Additional certifications such as ServiceNow Certified System Administrator or Application Developer are a plus.
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Solid understanding of ITIL frameworks and how they align with enterprise IT strategies.
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Exceptional interpersonal and communication skills, with a proven ability to engage and influence both technical teams and business stakeholders.
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Our client, a leading Digital Transformation company, are hiring a French-speaking ServiceNow Architect to join the team in Montreal. The successful candidate will collaborate with stakeholders to understand business objectives, design customized technical solutions, and deliver smooth deployments that uphold the highest standards of performance, security and scalability.
Responsibilities-
Develop and deploy resilient cloud solutions.
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Collect and convert stakeholder requirements into technical architectures.
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Ensure solutions adhere to best practices and industry standards.
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Provide thought leadership and technical expertise on the latest cloud innovations.
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Assist in pre-sales activities, including solution demos and proposal development.
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Create and maintain documentation for solution designs and project deliverables.
Skillset-
Fluency in English and French is required.
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Bachelor’s or Master’s degree in Computer Science, Software Engineering or similar.
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Extensive experience working with cloud technologies.
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Practical experience with ServiceNow, including design and integration.
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In-depth knowledge of cloud workflows, customizations and integrations.
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Exceptional communication and presentation skills.
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Strong collaborative abilities across sales, consulting and project teams.
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Up-to-date knowledge of the latest cloud technology trends.
Benefits-
Competitive Salary.
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Remote working.
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Comprehensive Benefits package.
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Our client, a global leader in Digital Transformation, is hiring a ServiceNow ITOM Technical Consultant to join their Canda-based team remotely on a contract basis. The successful candidate will collaborate with enterprise clients to deliver tailored implementations, configurations and optimizations of the ServiceNow ITOM suite, aligning solutions with complex and evolving business requirements.
Responsibilities-
Design and implement scalable solutions across ServiceNow ITOM modules, ensuring alignment with business and technical objectives.
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Facilitate client workshops and perform needs assessments to translate business requirements into actionable technical plans.
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Set up and maintain MID Servers, probes, sensors and discovery patterns to enable accurate infrastructure mapping.
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Develop seamless integrations between ServiceNow and external monitoring systems, cloud services and infrastructure tools.
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Partner with platform architects and development teams to ensure adherence to best practices and maintain high coding standards.
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Identify, diagnose and resolve technical issues affecting ITOM performance, reliability and integrations.
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Act as a trusted advisor and subject matter expert on ServiceNow ITOM solutions, trends and implementation strategies.
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Produce clear and comprehensive documentation for system configurations, processes and project deliverables.
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Deliver training and knowledge transfer sessions to internal teams and client stakeholders, supporting long-term solution adoption.
Skillset-
At least 3 years of practical experience with ServiceNow specializing in ITOM solutions.
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Proven expertise in two or more key ITOM components e.g. Discovery, Service Mapping, Event Management, Orchestration or Cloud Management.
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Strong proficiency in JavaScript, Glide API, API integrations and MID Server configuration.
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Solid grasp of enterprise infrastructure technologies, including networking, cloud environments, virtualization and containers.
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In-depth understanding of CMDB structure, architecture and data modeling within ServiceNow.
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ServiceNow Certified Implementation Specialist – ITOM or Discovery certification is preferred.
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Familiarity with ITIL methodologies and service management best practices.
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Hands-on experience integrating cloud platforms such as AWS, Azure, or GCP into the ServiceNow ecosystem.
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Working knowledge of DevOps tools, automation frameworks, and CI/CD pipelines.
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Excellent analytical thinking, with strong communication and stakeholder engagement skills.
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Our client, a IT Solutions organization, is hiring a Senior Splunk Engineer to join the team in Virginia on a contract basis. The successful candidate will play a key role in developing secure, scalable, and resilient enterprise Splunk environments in support of critical national security initiatives.
Responsibilities- Design, implement and maintain enterprise-scale Splunk environments, integrating CI/CD methodologies for streamlined automation.
- Leverage Terraform, Ansible and GitLab to build repeatable, scalable infrastructure deployments.
- Oversee Splunk upgrades and manage core components including Indexers, Search Heads and Universal Forwarders across distributed environments.
- Ingest, normalize and optimize a wide range of data sources - such as Syslog, HTTP Event Collector (HEC), and APIs - to maximize performance and minimize license impact.
- Develop and maintain standard operating procedures (SOPs), technical documentation, user guides and custom dashboards to support mission-critical analytics.
- Implement and maintain security hardening measures, including SSL configuration, STIG compliance and RHEL patching.
- Work closely with DevOps, Cloud and Security teams to deliver real-time security analytics using Splunk Enterprise Security (ES) and User Behavior Analytics (UBA).
- Act as a trusted technical liaison, collaborating directly with end users, analysts and government stakeholders to drive Splunk adoption and optimize system performance.
Skillset- Active Top Secret/SCI (CI Poly preferred or ability to obtain) is a must.
- Minimum of 3 years of hands-on experience with Splunk Enterprise, including deployments, upgrades, and data ingestion/onboarding.
- Proficient in Linux (RHEL/CentOS) and Windows systems administration.
- Skilled in Infrastructure-as-Code using Terraform and Ansible for automated deployments.
- Strong scripting abilities with Python or Bash for automation and operational efficiency.
- Deep understanding of Splunk configuration files such as inputs.conf, props.conf and transforms.conf.
- Proven experience managing clustered Splunk environments on both bare metal and virtualized infrastructure.
- Splunk Certified Administrator required; Splunk Certified Architect preferred or in progress.
- Possession of CompTIA Security+ or other DoD 8570 IAT II compliant certification.
- Outstanding written and verbal communication skills, with the ability to thrive in a collaborative, agile environment.
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Enterprise Solution Architect (Contract)
Location: Hybrid (2 days onsite) Cork or Dublin
Duration: April 2025 – Q4 2025
Level: Senior
Our client, a large energy company, is hiring an experienced Enterprise Solution Architect to join their IT Architecture team on a contract basis. This role will support key IT projects, including Cyber Enhancement, AI Roadmap Execution, Work & Asset Management Upgrades and VDI Upgrades.
Responsibilities-
Provide architectural guidance on IT systems, applications and infrastructure.
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Ensure alignment with IT and business strategies.
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Conduct solution design reviews and enforce architecture standards.
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Develop and maintain architecture models, roadmaps and governance frameworks.
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Support cloud migration, cybersecurity and enterprise application upgrades.
Skillset-
5–10 years of experience as an Enterprise Solution Architect.
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Expertise in at least three of the following: End-user Computing, Cyber Resilience, AI Solution Delivery, Enterprise Application Upgrades, Infrastructure Upgrades, Cloud Migration.
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Certified in an Enterprise Architecture framework (TOGAF, DoDAF, Zachman).
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Strong stakeholder management, communication and problem-solving skills.
Apply Now! Send your CV to nicolam@alldus.com -
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Job: AI Infrastructure Lead
Location: Ireland (hybrid working)
Duration: 6 months rolling
Day rate: €DOE
Alldus are excited to present a new day rate contract for an expert in AI infrastructure with our client, who are a global Healthcare company. This job needs someone who is strong at spinning up AI agents and building scalable, on-premise solutions. They are currently utilizing RedHat OpenShift AI and would love to speak with someone who has experience with these products.
Responsibilities-
Architect and implement an AI infrastructure using RedHat OpenShift AI, ensuring scalability, reliability, and repeatability.
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Develop and optimize processes for spinning up AI agents and handling AI workloads across a centralized infrastructure.
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Work closely with data scientists, ML engineers, and DevOps teams to facilitate seamless AI model deployment. You will also engage Network, Middleware, Cloud and Database teams to ensure wider business standards are met.
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Implement automation strategies to streamline AI request provisioning and infrastructure scaling.
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Ensure security, compliance, and best practices for AI deployment in an enterprise-grade on-premise environment.
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Monitor system performance, troubleshoot issues, and enhance efficiency with continuous improvements.
Skillset-
5+ years of experience in AI/ML infrastructure or cloud-native architecture, with a strong focus on on-premise AI solutions.
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Deep expertise in RedHat OpenShift AI, Kubernetes, and containerized AI deployments.
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Strong experience with MLOps frameworks, CI/CD pipelines for AI, and scalable model deployment strategies.
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Knowledge of automation tools such as Ansible, Terraform, or custom scripting for AI infrastructure.
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Understanding of AI governance, security, and compliance best practices.
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Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
If this positions sounds like something you would be interested and have experience with, share an updated CV and we can discuss further.
Note: There is no sponsorship provided for this role. All applicants must have the right to work in Ireland. -
