At a Glance
- Tasks: Design and deploy cutting-edge AI/ML solutions that drive real business impact.
- Company: Join Aubay UK, a leader in innovative digital services with a focus on AI and Data.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborate with top-tier professionals in a fast-paced, transformative industry.
- Why this job: Be at the forefront of AI innovation and contribute to sustainable energy solutions.
- Qualifications: 10+ years in software and machine learning engineering with strong cloud expertise.
The predicted salary is between 72000 - 88000 £ per year.
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, Dev Ops 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, Gen AI, 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, Py Spark, and large-scale data processing
- Experience working with SQL and No SQL databases
- Strong understanding of machine learning lifecycle management, monitoring, and optimisation
- Experience working in Agile, cross-functional delivery teams
- Bachelor's, Master's, or Ph D in Computer Science, Engineering, Statistics, or a related discipline
Desired Skills and Experience
- Experience developing Generative AI solutions using Azure Open AI and Lang Chain
- 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 Sage Maker, 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 Dev Ops 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 In Sourcing Partner for client-side deployment delivered across London.
Our team, based in Canary Wharf, specialises in hiring IT professionals within London’s Energy and Fin Tech 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 recognised as Energy Super Majors/Financial Services and innovative Fin Tech 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.
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Senior AI/ML Research Engineer employer: Aubay UK
Aubay UK is an exceptional employer, offering a dynamic work environment in the heart of the West Midlands, where innovation meets operational excellence. With a strong focus on employee growth and development, we provide opportunities for career advancement and the chance to lead impactful data initiatives within the financial services sector. Our collaborative culture encourages teamwork and accountability, ensuring that every team member feels valued and empowered to contribute to our success.
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We think this is how you could land Senior AI/ML Research Engineer
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We think you need these skills to ace Senior AI/ML Research Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Aubay UK. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Aubay UK
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Aubay UK!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
