Data & AI Consultant
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IT/Tech
Data Engineering, AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Permanent | UK Wide | Hybrid Working (2 days a week in-office)
We're partnering with a highly respected, award-winning technology consultancy that's continuing to invest heavily in its Data & AI practice. As demand for its services continues to grow, they're looking for experienced Data & AI Consultants to help deliver large-scale data transformation, AI and machine learning projects for some of the UK's most recognisable organisations.
This is an opportunity to work across both modern data engineering and applied AI/ML, helping clients build the data foundations and intelligent solutions needed to drive real business value.
What You'll Be Doing:You'll work closely with clients to understand their business challenges before designing and delivering scalable data and AI solutions.
Your responsibilities will include:- Designing and developing modern cloud-based data platforms and architectures.
- Building robust, scalable data pipelines using Python, PySpark and SQL.
- Developing and implementing AI/ML solutions to solve complex business problems.
- Working with machine learning models, supporting their development, deployment and optimisation.
- Exploring opportunities to apply generative AI, predictive analytics and advanced machine learning techniques.
- Creating efficient ELT/ETL processes and implementing best practices around data quality and governance.
- Collaborating with Data Scientists, Solution Architects, Analysts and wider engineering teams to deliver end-to-end solutions.
- Supporting clients in identifying and adopting emerging Data & AI technologies.
- Leading technical work streams and providing guidance to junior consultants where appropriate.
We're looking for technically strong consultants who have a solid grounding in data engineering alongside an interest and experience in the AI/ML space.
You’ll ideally have:- Strong commercial experience delivering modern Data Engineering and/or AI solutions.
- Strong programming skills in Python and SQL, with experience using PySpark.
- Experience building and optimising cloud-based data pipelines and data platforms.
- Exposure to machine learning, model development, deployment or MLOps.
- An understanding of AI/ML concepts and how they can be applied to real-world business challenges.
- Strong knowledge of data modelling, data warehousing and modern data architecture principles.
- Experience working with cloud technologies and modern data platforms.
- Excellent communication skills and the confidence to engage directly with clients.
- A consultative mindset, with the ability to translate complex business challenges into effective technical solutions.
We're open to candidates from a range of modern data and cloud technology backgrounds, including Microsoft Azure, Microsoft Fabric, Databricks, Snowflake and other cloud-native data platforms.
Experience with AI/ML frameworks, machine learning platforms or generative AI technologies would also be highly advantageous.
- Competitive base salary – Up to £80k depending on experience.
- A reward programme where you work towards 3-month paid sabbatical or cash equivalent.
- Consultant-led career progression - You decide when you're ready for the next step in your career.
- Continuous learning, certifications and professional development.
- Private medical insurance.
- Employer pension contribution.
- Life assurance.
- 25 days annual leave plus bank holidays, with a further buy/sell scheme.
- Access to online learning platforms and funded professional certifications.
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