Senior AI/ML Research Engineer
Duration: 5 months rnewable
Location: London
Start date: ASAP
Payrate: £700.00 Inside IR35
Senior AI/ML Research Engineer is an opportunity to join a Data & AI team focused on building production-grade machine learning solutions across multiple business areas in a large-scale enterprise environment.
Role Context
This position sits within a Data & AI organisation delivering scalable AI/ML solutions, with a strong focus on enterprise quality, reliability, and scalability. The Senior AI/ML Research Engineer will contribute to the development of modern machine learning systems in an environment where cloud-based development, data platforms, and advanced AI tooling are central to delivery.
About the Role
The Senior AI/ML Research Engineer will design, develop, and deploy scalable AI/ML solutions from experimentation through to production. This role is central to building reusable machine learning architectures, supporting automation across the AI/ML lifecycle, and helping translate business needs into technical solutions.
Key Responsibilities
- Design and deploy large-scale machine learning systems into production using modern engineering practices and tools.
- Build and maintain core ML infrastructure, including pipelines for feature engineering, model training, evaluation, deployment, and monitoring.
- Automate the full AI/ML lifecycle, covering data ingestion, experimentation, tuning, and visualisation.
- Collaborate with product teams to convert business requirements into scalable, reusable ML solutions.
- Partner with DevOps and infrastructure teams to improve deployment velocity, CI/CD processes, and reliability of data pipelines.
- Contribute to innovation by staying up to date with emerging AI/ML technologies and best practices.
- Support knowledge sharing and community initiatives across the organisation.
Required Experience & Qualifications
- Bachelor’s, Master’s, or PhD in a relevant discipline (Engineering, Computer Science, Statistics, or related fields).
- 10+ years of experience in software development and machine learning engineering.
- Strong expertise in designing large-scale machine learning systems and architectures.
- Advanced programming skills (Python preferred) with experience in frameworks and tools such as JavaScript, Kafka, and reactive systems.
- Extensive experience with cloud-based development, particularly on Azure, including AI/ML services and data platforms.
- Proven experience with Kubernetes for application deployment, scaling, and monitoring.
- Strong background in CI/CD pipeline design, automation, and maintenance.
- Hands-on experience with data engineering tools and storage solutions (e.g., ADLS, Spark, Databricks, SQL/NoSQL databases).
- Experience with distributed computing and big data processing frameworks such as PySpark.
- Knowledge of infrastructure-as-code tools such as Terraform and Helm.
- Experience building and deploying GenAI solutions using frameworks such as LangChain and Azure OpenAI.
- Development of enterprise-grade RAG (Retrieval-Augmented Generation) systems, including context engineering and multimodal data pipelines.
- Design and deployment of autonomous multi-agent systems using modern orchestration frameworks and evaluation approaches.
- Experience delivering Text-to-SQL solutions and natural language interfaces for structured data environments.
- Strong understanding of data processing, cleansing, and handling large structured and unstructured datasets.
- Solid foundation in Linux, scripting (Bash/PowerShell), and networking fundamentals.
- Excellent communication skills with the ability to translate complex technical concepts into business terms.
- Experience working in agile, cross-functional, and globally distributed teams.
- Continuous learning mindset with a focus on emerging technologies and innovation.
About Airswift
Airswift is an international workforce solutions provider within the energy, process and infrastructure industries. Airswift partners with organisations worldwide to deliver critical talent across complex projects, offering global reach and industry expertise.