Senior AI/ML Research Engineer
This is an exciting role for a senior AI/ML Research Engineer to join a world-leading Energy Trading & Commodities company as part of their highly innovative GenAI Team.
You will be responsible for designing, developing, and deploying scalable AI/ML solutions across multiple business areas.
The role focuses on delivering production-grade machine learning systems while ensuring alignment with enterprise quality, reliability and scalability standards. You will lead end-to-end AI/ML solution developmentfrom data exploration and experimentation through to deployment, monitoring and continuous optimisation. You will work closely with cross-functional teams including data engineering, infrastructure, DevOps, and product management to translate business needs into robust, reusable machine learning architectures.
Required Qualifications & Experience:
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.
Core Technical Skills:
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 (eg, 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.
Advanced/Specialist Expertise:
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.
Additional Skills:
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.
Nice-to-Have:
Experience with AWS or GCP ML platforms (eg, SageMaker, Vertex AI). Front End development (React) or Back End development (.NET/C#). Commercial awareness and understanding of business value delivery.
With a focus within Energy Trading, Oil & Gas, Financial Markets and Commodities, we offer a transparent Recruitment Service that has proven to be reliable and effective for over 40 years. We are ISO accredited and proud of our excellent TrustPilot Reviews. Your search for a New Contract Assignment or for a New Permanent Job will be in safe hands with Eaglecliff Recruitment. Please telephone for an immediate response or email your CV for a quick response. Eaglecliff Ltd is acting in the capacity of an employment agency for permanent recruitment and an employment business for contractor resourcing.
You will be responsible for designing, developing, and deploying scalable AI/ML solutions across multiple business areas.
The role focuses on delivering production-grade machine learning systems while ensuring alignment with enterprise quality, reliability and scalability standards. You will lead end-to-end AI/ML solution developmentfrom data exploration and experimentation through to deployment, monitoring and continuous optimisation. You will work closely with cross-functional teams including data engineering, infrastructure, DevOps, and product management to translate business needs into robust, reusable machine learning architectures.
Required Qualifications & Experience:
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.
Core Technical Skills:
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 (eg, 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.
Advanced/Specialist Expertise:
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.
Additional Skills:
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.
Nice-to-Have:
Experience with AWS or GCP ML platforms (eg, SageMaker, Vertex AI). Front End development (React) or Back End development (.NET/C#). Commercial awareness and understanding of business value delivery.
With a focus within Energy Trading, Oil & Gas, Financial Markets and Commodities, we offer a transparent Recruitment Service that has proven to be reliable and effective for over 40 years. We are ISO accredited and proud of our excellent TrustPilot Reviews. Your search for a New Contract Assignment or for a New Permanent Job will be in safe hands with Eaglecliff Recruitment. Please telephone for an immediate response or email your CV for a quick response. Eaglecliff Ltd is acting in the capacity of an employment agency for permanent recruitment and an employment business for contractor resourcing.