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- Tasks: Design and implement AI/ML models, optimise pipelines, and collaborate on innovative projects.
- Company: AND Digital, a forward-thinking tech company dedicated to closing the digital skills gap.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Why this job: Join a mission-driven team and make a real impact in the digital world.
- Qualifications: Experience in AI/ML engineering, especially with LLMs and RAG architectures.
- Other info: Dynamic work environment with a focus on diversity and inclusion.
The predicted salary is between 50000 - 60000 £ per year.
We are recruiting for a Contract AI/ML Engineer to join us ASAP for a duration of three months. Ideally based in a commutable distance to Manchester. AND Digital are a tech company focused on accelerating digital delivery and dedicated to closing the digital skills gap. We’ve been helping organisations build better digital products and stronger digital teams since 2014. We believe our work should always leave a legacy for the client. We do this through close relationships with our offices (or ‘Clubs’) so that our partners are always prioritised by a regional team close to them. This unique model has driven success for our clients and ourselves, evidenced by our remarkable organic growth since 2014. Today we number more than 1,500 people with Clubs all over the UK and Europe with plans for global expansion in the next couple of years. Join us – and help us fulfil our mission to close the world’s digital skills gap.
Key Responsibilities
- Design and implement model evaluation frameworks to assess performance and reliability
- Configure and optimise Retrieval-Augmented Generation (RAG) pipelines
- Develop and refine prompts to improve accuracy, consistency, and usability
- Conduct performance tuning across models and pipelines (latency, cost, quality)
- Collaborate with stakeholders to translate research and product needs into technical solutions
- Ensure outputs meet trust, safety, and quality expectations
Requirements
- Proven experience in AI/ML engineering, ideally with LLM-based applications
- Strong hands‑on experience with RAG architectures and prompt engineering
- Experience evaluating and benchmarking model performance
- Familiarity with performance optimisation techniques for ML systems
- Experience working with Azure AI services (preferably Azure AI Foundry)
- Ability to work independently in a fast‑paced, experimental environment
Tech Stack
- Azure AI Foundry
- Large Language Models (LLMs)
- RAG pipelines and vector databases
- Python and relevant ML frameworks
At AND Digital we embrace diversity and are committed to equal opportunities. We are actively recruiting for a diverse and inclusive workforce so want to ensure we do everything we can to support your application. We want you to feel safe and empowered to let us know if you require any adjustments to be made to your application or interview process so please speak to our recruitment team.
AI/Machine Learning Engineer (3 month contract) in Prestbury employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/Machine Learning Engineer (3 month contract) in Prestbury
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at AND Digital. A friendly chat can sometimes lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects related to AI/ML, make sure to highlight them during interviews. It’s a great way to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical questions! Brush up on your knowledge of RAG pipelines and performance optimisation techniques. Being able to discuss these topics confidently will set you apart from other candidates.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the AND Digital team.
We think you need these skills to ace AI/Machine Learning Engineer (3 month contract) in Prestbury
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI/ML Engineer role. Highlight your experience with LLMs and RAG architectures, as well as any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and machine learning, and how you can contribute to our mission at AND Digital. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've got any personal or professional projects that demonstrate your skills in AI/ML, make sure to mention them. We’re keen to see your hands-on experience, especially with performance tuning and model evaluation frameworks.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at NLP PEOPLE
✨Know Your Tech Stack
Familiarise yourself with the specific technologies mentioned in the job description, like Azure AI Foundry and RAG pipelines. Be ready to discuss your hands-on experience with these tools and how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in AI/ML engineering, especially around model performance and optimisation. Use the STAR method (Situation, Task, Action, Result) to structure your responses clearly.
✨Understand Their Mission
Research AND Digital's mission to close the digital skills gap. Be prepared to discuss how your work can contribute to this goal and why you’re passionate about making a positive impact in the tech industry.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the company culture. This shows your genuine interest and helps you assess if the company is the right fit for you. Consider asking about their approach to collaboration and innovation within teams.