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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
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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


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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.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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