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- Tasks: Build and optimise AI workflows, deploy models, and automate processes.
- Company: Join a market-leading financial services firm in Edinburgh.
- Benefits: Hybrid work, competitive salary, and opportunities for growth.
- Why this job: Make an impact in AI while working with cutting-edge technologies.
- Qualifications: Experience in machine learning, Python, Kubernetes, and CI/CD tools.
- Other info: 12-month contract with potential for extension and career development.
The predicted salary is between 28800 - 48000 £ per year.
Location: Edinburgh
Hybrid role: 2 days a week in the office
Contract: 12-month fixed term contract
Our market-leading financial services client is seeking a motivated, detail-focused Graduate Machine Learning and AI Engineer to join the Business Transaction Banking division. This role involves building and optimising agent workflows, integrating LLMs with internal tools/data. Additionally, you will have the opportunity to be involved with model deployment, automation & CI/CD. You will also be deploying these artefacts into Kubernetes pods, ensuring scalability, resilience, and proper resource allocation.
Responsibilities
- Model Deployment: Take trained AI/ML models and package them into deployable artefacts (e.g., Docker images).
- Kubernetes Orchestration: Deploy these artefacts into Kubernetes pods, ensuring scalability, resilience, and proper resource allocation.
- Automation & CI/CD: Build pipelines for automated deployment, testing, and monitoring of models.
- Environment Management: Handle containerisation (Docker), networking, and configuration for production environments.
- Monitoring & Logging: Implement tools to track model performance, resource usage, and system health.
Skills and Experience
- Have research or practical experience with machine learning engineering and artificial intelligence.
- Experience using the following: Python, Kubernetes, Docker.
- Experience using CI/CD Tools: Jenkins, GitHub Actions, or Azure DevOps.
- Experience using Cloud Platforms: AWS, Azure, or GCP.
- Basic Machine Learning Knowledge: Understanding of how models work to troubleshoot deployment issues.
- Great attention to detail.
- Analytical mindset and uses a methodological approach to complete tasks.
- Resilient, confident, professional, and able to work effectively with multiple teams.
You will be a valued member of our Adecco Emerging Talent function working onsite with a market-leading organisation. Initially, the assignment is 12 months with scope for extension in the future, so you need to be someone with a permanent mindset! If you have the experience and desire to work for a well-respected organisation offering personal and professional support, growth and development, then you could be a perfect fit for the team and we want to hear from you - APPLY NOW.
Please be advised that if you haven't heard from us within 48 hours, then unfortunately your application has not been successful on this occasion. We may, however, keep your details on file for any suitable future vacancies and contact you accordingly. Adecco Emerging Talent is an employment consultancy and operates as an equal opportunities employer.
Graduate Machine Learning and AI Engineer employer: Adecco
Contact Detail:
Adecco Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Machine Learning and AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or attend local meetups. You never know who might have a lead on that perfect role or can give you insider info about the company.
✨Tip Number 2
Prepare for those interviews! Research common questions for Machine Learning and AI roles, and practice your answers. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant machine learning projects, make sure to highlight them during interviews. Having a portfolio can really set you apart from other candidates.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for fresh talent, so don’t hesitate to hit that apply button!
We think you need these skills to ace Graduate Machine Learning and AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Graduate Machine Learning and AI Engineer role. Highlight relevant skills like Python, Kubernetes, and any experience with CI/CD tools. We want to see how your background fits perfectly 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 machine learning and AI, and how your experiences align with our needs. Let us know why you’re excited about this opportunity at StudySmarter!
Showcase Your Projects: If you've worked on any projects related to AI or machine learning, make sure to mention them! Whether it's a personal project or something from your studies, we love seeing practical applications of your skills.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the whole process smoother for both of us!
How to prepare for a job interview at Adecco
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, like Python, Kubernetes, and Docker. Brush up on your knowledge of CI/CD tools like Jenkins or GitHub Actions, as well as cloud platforms such as AWS or Azure. Being able to discuss these confidently will show that you're ready to hit the ground running.
✨Showcase Your Projects
Prepare to talk about any relevant projects or experiences you've had with machine learning and AI. Whether it’s a university project or a personal endeavour, be ready to explain your role, the challenges you faced, and how you overcame them. This will demonstrate your practical experience and problem-solving skills.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare some thoughtful questions about the team, the projects you'll be working on, or the company culture. This not only shows your interest but also helps you gauge if this is the right fit for you.
✨Demonstrate Your Analytical Mindset
Since the role requires an analytical approach, be prepared to discuss how you tackle problems methodically. You might be asked to solve a hypothetical scenario during the interview, so practice articulating your thought process clearly and logically.
