At a Glance
- Tasks: Design and build scalable data solutions using AI and modern technologies.
- Company: Join a leading tech consultancy focused on innovative data and AI solutions.
- Benefits: Competitive salary, hybrid work model, and excellent career progression opportunities.
- Other info: Collaborate with skilled professionals in a dynamic environment.
- Why this job: Work on cutting-edge projects that drive real business impact and digital transformation.
- Qualifications: Experience in AI or Data Engineering with strong programming skills in Python and SQL.
The predicted salary is between 63000 - 77000 £ per year.
We are looking for talented AI / Data Engineers to join a growing technology consultancy delivering innovative data, analytics and AI solutions for enterprise clients. This is an exciting opportunity to work with modern cloud, data and AI technologies, helping organisations unlock value from their data and accelerate digital transformation.
Whether your background is in Data Engineering, AI Engineering, or both, you'll have the opportunity to design and build scalable solutions that deliver real business impact. As one of our AI / Data Engineers, you will:
- Design, build and maintain scalable data pipelines and data platforms
- Develop analytics and AI-enabled solutions that support business decision-making
- Create and implement machine learning and generative AI solutions
- Integrate data from multiple sources while ensuring data quality and reliability
- Work closely with analysts, product teams and stakeholders to translate business requirements into technical solutions
- Optimise systems for performance, scalability and efficiency
- Contribute to testing, monitoring and quality assurance activities
- Produce clear technical documentation and follow data governance and security best practices
If you possess a combination of some of the following skills, then LETS TALK!
- Experience as an AI Engineer, Data Engineer, Data Developer or similar
- Strong programming skills in Python and SQL
- Experience building data pipelines and working with both structured and unstructured data
- Knowledge of AI, machine learning or generative AI technologies
- Exposure to frameworks such as TensorFlow, PyTorch, LangChain or similar
- Experience working with cloud based data platforms and modern data architectures
- Strong analytical and problem-solving skills
- Excellent communication skills with the ability to engage both technical and non-technical stakeholders
- Experience delivering solutions within Agile environments
In return, you will be rewarded with an enviable benefits package in addition to:
- Working on cutting-edge AI and data transformation projects
- Collaborating with highly skilled engineers, analysts and consultants
- Gaining exposure to enterprise-scale cloud and AI technologies
- Hybrid working model with Manchester-based collaboration
- Excellent opportunities for career progression and professional development
Successful applicants must be eligible to obtain UK Security Check (SC) Clearance.
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
AI/Data Engineers in Manchester employer: Hays
Join a vibrant secondary school that prioritises excellence in education and fosters a supportive community for both students and staff. As the Head of Mathematics, you will benefit from a competitive salary, ongoing professional development opportunities, and a collaborative work culture that encourages innovation and growth. This role not only allows you to lead a dedicated team but also to make a significant impact on student achievement in a welcoming environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI/Data Engineers in Manchester
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Hays!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI/Data Engineers at Hays.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Hays.
✨Apply Directly through Our Website
When you find a suitable opening like AI/Data Engineers at Hays, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace AI/Data Engineers in Manchester
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Hays, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Hays. 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 Hays
✨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!
✨Showcase Your Projects
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 Hays!
✨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.
