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For Companies At a Glance
- Tasks: Design and build AI solutions that transform marketing performance and automation.
- Company: Join an award-winning agency at the forefront of brand performance.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Be part of a tech journey that shapes the future of AI in marketing.
- Qualifications: Degree in Computer Science or related field; experience in AI and data engineering.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
The predicted salary is between 28800 - 48000 £ per year.
About Threepipe Reply:
Threepipe Reply is an award-winning integrated brand performance agency of specialists, working across media, creative, social, analytics, UX, data science, search marketing and PR. Threepipe offers a rigorous planning framework, proprietary and best in breed technology partners to help consumer and business to business brands make sense of the highly evolving market, media and competitor landscape.
Role overview:
As a Graduate AI and ML Engineer, you'll support the design and build and operational maintenance of applied AI and data engineering solutions that make a real impact across the agency. You'll work on everything from improving and maintaining our internal systems and data pipelines, to developing AI-powered applications and prototypes for client work. This is a unique opportunity to join at the start of our tech journey and help shape how AI and advanced data engineering transforms our agency. You'll also assist our team in the design and development of machine learning processes in a variety of client environments. You will support the analysis of client requirements and help generate suitable recommendations. You will help manage the ML lifecycle from data selection and collection, ML model design and creation all the way through to operationalisation and monitoring.
Start date: February
Responsibilities:
- Developing new applications to support marketing performance and automation
- Build AI-powered prototypes and applications using LLMs, LangChain, RAG pipelines, and other emerging frameworks.
- Experiment with new AI technologies (e.g. vector databases, embedding models, prompt optimisation, AI agent, Google AI Studio/Gemini) and assess their value to the agency.
- Managing and improving our cloud infrastructure structure and data pipelines; help deploy and manage containerised services.
- Working with our Data Analysts and data team members to better improve our data infrastructure, transformations and reporting flows.
- Support the management of infrastructure and orchestration pipelines needed to automatically train and bring machine learning models to production
- Explore and understand client data in relation to the problem you're tackling and communicate findings to clients and stakeholders
- Collaborate with non-technical teams to understand business problems and turn them into AI and data solutions.
- Responsible for supporting, managing and maintaining our internal website and applications, including assisting with future migration/modernisation and working with external partners where required
About the candidate:
- Degree-educated in Computer Science, Artificial Intelligence, Data Science, or in a related discipline (min 2.1 grade)
- Initial work experience working in relevant role (e.g. data engineering, developing AI solutions, training, evaluating or deploying machine learning models)
- Practical experience with at least one major cloud platform (GCP or AWS) and working knowledge of its database/compute services
- Experience with MySQL and confident SQL skills (e.g., PostgreSQL /BigQuery-style SQL)
- A successful history of manipulating, processing and extracting value from large, disconnected datasets.
- Excellent knowledge of Python and data handling libraries (Python3 and specifically Pandas) including at least one ML framework e.g. Pytorch, Tensorflow and SKLearn as well as initial knowledge of LangChain and RAG.
- Familiarity with DevOps, Git/Github and CI/CD workflows is required and experience with containerisation and deployment using Docker/Kubernetes will be considered a plus
- Comfortable working with REST APIs and integrating platform exports into reporting pipelines
- Experience with Looker Studio, Supabase, Bolt or similar tools is advantageous
Graduate Ai And Machine Learning Engineer in England employer: Reply, Inc.
Contact Detail:
Reply, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Ai And Machine Learning Engineer in England
✨Tip Number 1
Network like a pro! Reach out to alumni from your university or connections in the industry. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI and machine learning projects. This is your chance to demonstrate what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. We recommend using platforms that simulate real interview scenarios to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at Threepipe Reply.
We think you need these skills to ace Graduate Ai And Machine Learning Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Graduate AI and Machine Learning Engineer role. Highlight relevant skills, projects, and experiences that align with what we’re looking for. This shows us you’ve done your homework and are genuinely interested in the position.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about AI and machine learning. Share specific examples of your work or projects that demonstrate your skills and how they relate to our needs at Threepipe Reply.
Showcase Your Projects: If you’ve worked on any AI or data engineering projects, make sure to showcase them in your application. Whether it’s a personal project or something from your studies, we want to see your practical experience and creativity in action!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Reply, Inc.
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of AI and machine learning frameworks like Pytorch, TensorFlow, and LangChain. Be ready to discuss how you've used these technologies in past projects or coursework, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific instances where you've tackled complex data problems. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how you approached the problem and what impact your solution had.
✨Familiarise Yourself with Cloud Platforms
Since experience with cloud platforms like GCP or AWS is crucial, make sure you can discuss your familiarity with their services. If you’ve worked on deploying applications or managing data pipelines, be ready to share those experiences and any relevant metrics that demonstrate your success.
✨Communicate Clearly with Non-Techies
As a Graduate AI and ML Engineer, you'll need to collaborate with non-technical teams. Practice explaining complex concepts in simple terms, so you can effectively communicate your ideas and solutions to clients and stakeholders during the interview.
