At a Glance
- Tasks: Build and optimize scalable AI/ML pipelines for NLP and LLM applications.
- Company: Join an innovative AI start-up transforming data processing in creative industries.
- Benefits: Enjoy a hybrid work model with 2 days in the Edinburgh office.
- Why this job: Be at the forefront of AI, bridging creativity and data to empower brands.
- Qualifications: Experience with MLOps tools, AWS, Python, and containerization is essential.
- Other info: No visa sponsorship available; must be eligible to work in the UK.
The predicted salary is between 36000 - 60000 £ per year.
MLOps Engineer – Edinburgh – Hybrid We are collaborating with an innovative AI/Machine Learning start-up in Edinburgh that is redefining how data is processed in creative industries. This growing company is at the forefront of combining NLP, Large Language Models (LLMs), and cutting-edge machine learning practices to turn unstructured data into actionable insights. Their platform serves industries such as media, advertising, and entertainment, enabling companies to optimise workflows and extract valuable insights from massive amounts of creative content like social media posts, videos, and customer feedback. By bridging the gap between creativity and data, this start-up is empowering brands to connect with audiences like never before. The Role: As an MLOps Engineer, y ou will be pivotal in building and optimising scalable AI and ML pipelines to support advanced NLP and LLM applications. Key responsibilities include: Designing and implementing robust MLOps pipelines for deploying and managing NLP models and LLMs in production. Automating model training, testing, deployment, and monitoring using tools like MLflow, Kubernetes, or Docker. Collaborating with data scientists and engineers to integrate AI solutions into the company’s cloud-based platform. Ensuring scalability, reliability, and performance of deployed models using AWS infrastructure. Keeping up with the latest trends in MLOps, cloud technologies, and machine learning to maintain a state-of-the-art platform. About You: To excel in this role, you’ll need: Proven experience with MLOps tools and frameworks, including CI/CD for ML workflows. Proficiency in cloud platforms such as AWS, with experience in services like Lambda, S3, or EC2. Strong programming skills in Python and familiarity with machine learning frameworks like TensorFlow or PyTorch. Experience with containerisation tools like Docker and orchestration platforms like Kubernetes. Additional Details: Location: Hybrid – 2 days per week in the Edinburgh office, based in Old Town. Eligibility: Unfortunately, this company cannot offer visa sponsorship now or after a PSW.
MLOps Engineer employer: NearTech Search
Contact Detail:
NearTech Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land MLOps Engineer
✨Tip Number 1
Familiarize yourself with the specific MLOps tools mentioned in the job description, such as MLflow, Kubernetes, and Docker. Having hands-on experience or projects showcasing these tools can set you apart during discussions.
✨Tip Number 2
Stay updated on the latest trends in NLP and LLMs. Being able to discuss recent advancements or case studies in these areas will demonstrate your passion and knowledge during interviews.
✨Tip Number 3
Network with professionals in the AI and MLOps community, especially those working in creative industries. Engaging in relevant forums or attending meetups can provide insights and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss your experience with cloud platforms, particularly AWS. Be ready to share specific examples of how you've utilized services like Lambda, S3, or EC2 in your previous projects.
We think you need these skills to ace MLOps Engineer
Some tips for your application 🫡
Understand the Company: Research the innovative AI/Machine Learning start-up in Edinburgh. Familiarize yourself with their platform, the industries they serve, and how they utilize NLP and LLMs to transform data into insights.
Tailor Your CV: Highlight your experience with MLOps tools, cloud platforms like AWS, and programming skills in Python. Make sure to include specific projects or achievements that demonstrate your proficiency in building and optimizing AI/ML pipelines.
Craft a Compelling Cover Letter: In your cover letter, express your passion for merging creativity with data. Discuss how your skills align with the responsibilities of the MLOps Engineer role and mention any relevant experience with tools like MLflow, Docker, or Kubernetes.
Showcase Continuous Learning: Mention any recent courses, certifications, or personal projects related to MLOps, cloud technologies, or machine learning. This demonstrates your commitment to staying updated with the latest trends in the field.
How to prepare for a job interview at NearTech Search
✨Showcase Your MLOps Knowledge
Be prepared to discuss your experience with MLOps tools and frameworks. Highlight specific projects where you implemented CI/CD for ML workflows, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Cloud Proficiency
Since the role requires proficiency in AWS, make sure to mention any relevant experience with services like Lambda, S3, or EC2. Discuss how you've utilized these services in past projects to enhance scalability and performance.
✨Highlight Programming Skills
Your programming skills in Python are crucial for this position. Be ready to share examples of how you've used Python in machine learning projects, particularly with frameworks like TensorFlow or PyTorch.
✨Discuss Containerization and Orchestration
Familiarity with Docker and Kubernetes is essential. Prepare to talk about how you've used these tools to automate model deployment and management, and any specific scenarios where they improved your workflow.