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Senior AI/ML Research Engineer

Aubay UK· London Area, United Kingdom
Posted 5 Aug 2026 · Added 5 Aug 2026, 18:59
Aubay UKIT consultancyfounded 2013
AI summary

Senior AI/ML Research Engineer role building enterprise-scale AI, GenAI, and RAG solutions on Azure for a global energy Super Major client. You'll use Python, Kubernetes, Databricks, Spark/PySpark, SQL/NoSQL, CI/CD, and LangChain, plus Azure OpenAI, Terraform, and Kafka. You'll lead end-to-end ML delivery and design AI agent architectures.

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Role Summary

Aubay UK is seeking an experienced Senior AI/ML Research Engineer to join a growing Data & AI organisation focused on developing and deploying enterprise-scale Artificial Intelligence and Generative AI solutions.

The successful candidate will be responsible for designing, developing, deploying, and optimising production-grade AI and Machine Learning systems that deliver measurable business value across multiple domains. Working closely with Data Engineers, DevOps teams, Product Managers, Architects, and business stakeholders, the role will focus on building scalable, reliable, and reusable AI capabilities that meet enterprise standards for performance, security, and operational excellence.

This is an excellent opportunity for a highly technical AI/ML Engineer with expertise in cloud-native machine learning, GenAI, RAG architectures, and large-scale data platforms who enjoys driving innovation while delivering real-world business outcomes.

Required Skills and Experience:

10+ years of experience in software engineering and machine learning engineering

Strong expertise designing and deploying large-scale AI/ML systems and architectures

Advanced programming experience with Python and modern software engineering practices

Experience building AI/ML solutions on Microsoft Azure

Strong experience with Kubernetes, containerisation, and cloud-native deployments

Experience designing and maintaining CI/CD pipelines and automated ML workflows

Hands-on experience with Databricks, Spark, PySpark, and large-scale data processing

Experience working with SQL and NoSQL databases

Strong understanding of machine learning lifecycle management, monitoring, and optimisation

Experience working in Agile, cross-functional delivery teams

Bachelor's, Master's, or PhD in Computer Science, Engineering, Statistics, or a related discipline

Desired Skills and Experience:

Experience developing Generative AI solutions using Azure OpenAI and LangChain

Experience building enterprise Retrieval-Augmented Generation (RAG) solutions

Experience designing autonomous AI Agent and multi-agent architectures

Experience developing Text-to-SQL and natural language query solutions

Knowledge of Infrastructure as Code using Terraform and Helm

Experience with Kafka, event-driven architectures, and distributed systems

Experience with AWS SageMaker, Vertex AI, or other cloud AI platforms

Knowledge of React, .NET, or C# development

Strong understanding of MLOps best practices and AI governance

Commercial awareness and ability to align technical solutions with business objectives

Roles and Responsibilities:

Design, develop, and deploy enterprise-scale AI and Machine Learning solutions

Lead end-to-end AI/ML delivery from experimentation through production deployment and support

Build and maintain robust ML pipelines for feature engineering, training, evaluation, deployment, and monitoring

Develop scalable Generative AI and Large Language Model (LLM) solutions

Design and implement enterprise Retrieval-Augmented Generation (RAG) architectures

Develop autonomous AI agents and orchestration frameworks to solve business problems

Automate the full AI/ML lifecycle, including model training, testing, deployment, monitoring, and optimisation

Collaborate with Product Owners and business stakeholders to translate requirements into technical solutions

Work closely with Data Engineering and DevOps teams to improve platform reliability and deployment efficiency

Optimise AI solutions for scalability, performance, cost, and operational resilience

Contribute to the evolution of AI engineering standards, best practices, and reusable frameworks

Conduct research into emerging AI technologies and assess their applicability to business challenges

Support technical mentoring, knowledge sharing, and AI community initiatives

Ensure solutions meet enterprise standards for governance, security, quality, and compliance

Drive continuous improvement across AI platforms, engineering practices, and delivery processes

About Aubay UK – Ahead of Innovation!

Aubay UK is a recognised InSourcing Partner for client-side deployment delivered across London. Our team, based in Canary Wharf, specialises in hiring IT professionals within London’s Energy and FinTech sectors, helping our clients to expand their operations with top-tier talent who are experts in their fields. We work exclusively with clients who are globally recognized as Energy Super Majors/Financial Services and innovative FinTech players.

Aubay UK is the most recently started branch of Aubay Group www.aubay.com. Aubay Group is an international Digital Services Company, listed on a Euronext Stock Exchange, who have been operating for 25 years in the European market and working alongside some of the biggest names in the Banking, Finance, Insurance, Energy, IT/Digital, Manufacturing, Transport and Telecoms sectors. With over 7,800 employees across 7 countries and 16 offices in England, France, Belgium, Luxembourg, Italy, Spain, and Portugal, Aubay Group generated revenues of €534 million in 2023.

Our Client

Our client is one of the Super Major global energy companies with around 84,000 employees across 70+ countries who are working to power progress through cleaner energy solutions.

Specialities: Upstream/Downstream, Biofuels, Integrated Gas, New Energies, Chemicals, Energy and Trading.

You will have the opportunity to work in a challenging but rewarding environment that is fast-paced and changing fundamentally and work towards transforming the business of a Super Major energy company to meet the ambition to be a net-zero emissions energy business by 2050 whilst delivering a world-class business case that has a robust societal license to operate. In your role, you will be expected to enact change and deliver value globally across business lines and geographies.