Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement AI/ML features to enhance customer workflows and optimize model performance.
- Company: Sage AI builds innovative solutions using generative AI to empower businesses globally.
- Benefits: Enjoy a hybrid work environment, collaboration with top talent, and opportunities for continuous learning.
- Why this job: Join a cutting-edge team focused on solving real-world problems with AI and machine learning.
- Qualifications: Expertise in AI/ML, programming (Python), and cloud environments required; degree in data science preferred.
- Other info: Be part of a diverse, inclusive team recognized as one of the Best Places to Work.
The predicted salary is between 54000 - 84000 £ per year.
Job Description
PRINCIPAL MACHINE LEARNING ENGINEER – Leading entertainment org
HYBRID – London
Up to £175,000 + Strong Bonus/Pension
We have been a long-term partner of this household name within the Interactive Entertainment space. They are looking to bring in a new Staff Machine Learning Engineer to drive the technical capabilities of the team.
You will be working end to end on various AI projects around LLM's, Computer Vision, audio data etc. As a Staff level candidate, you will also be responsible for acting as teh technical lead for a small squad of more junior members.
ROLE:
- Lead the design, development and deployment of various ML and AI based models
- Work across a wide range of business problems to implement state of the art AI systems such as LLM's, GenAI, Computer Vision etc.
- Mentor and guide junior machine learning engineers.
- Stay up to date with the cutting edge of ML and AI.
- Collaborate with cross functional teams to implement complex ML/AI products, regularly communicating with senior leadership
REQUIREMENTS:
- Advanced degree in a relevant STEM subject.
- Strong skills in the likes of Python, TensorFlow, PyTorch etc
- Proven track record of delivering large-scale machine learning products.
- Expertise in a variety of machine learning and AI techniques – Specifically across LLM's, Computer Vision, Audio
- Strong communication skills.
- A background working in strong/known tech companies (Meta, Google etc..)
If you are interested in this role, please reach out to Joseph Gregory.
Principal Machine Learning Engineer employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Machine Learning Engineer
✨Tip Number 1
Familiarize yourself with the specific AI and ML technologies mentioned in the job description, such as Python, Pycharm, OpenAI, and HuggingFace. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your readiness to contribute from day one.
✨Tip Number 2
Showcase your ability to communicate complex machine learning concepts to non-technical stakeholders. Prepare examples from your past experiences where you successfully translated technical jargon into understandable terms for diverse audiences.
✨Tip Number 3
Highlight any experience you have with ML Ops frameworks like MLFlow or Kubeflow. If you haven't worked with them yet, consider taking a short course or working on a personal project to gain familiarity, as this could set you apart from other candidates.
✨Tip Number 4
Emphasize your collaborative skills and experience working in cross-functional teams. Be ready to discuss how you've effectively partnered with product managers and data scientists to solve real-world problems using machine learning solutions.
We think you need these skills to ace Principal Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning and artificial intelligence. Focus on relevant projects, programming languages like Python, and any cloud environments you've worked with, such as AWS or Azure.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific experiences that align with the job description, such as mentoring other engineers or developing ML solutions that drive business insights.
Showcase Your Technical Skills: Be explicit about your technical skills in your application. Include your proficiency with ML Ops frameworks, data manipulation, and any experience with big data. This will demonstrate your capability to handle the responsibilities of the role.
Prepare for Behavioral Questions: Think about examples from your past work that showcase your problem-solving abilities, teamwork, and how you communicate complex ideas to non-technical stakeholders. This will help you stand out during the interview process.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with relevant programming languages and frameworks, especially Python, Pycharm, and cloud environments like AWS and Azure. Highlight specific projects where you've successfully implemented machine learning solutions.
✨Demonstrate Problem-Solving Skills
Prepare examples of how you've translated complex business problems into machine learning solutions. Discuss your approach to designing and optimizing models, and be ready to explain your thought process clearly.
✨Emphasize Collaboration and Mentorship
Since this role involves working with cross-functional teams, share experiences where you've collaborated with data scientists, product managers, or mentored other engineers. Highlight your ability to communicate complex ideas to non-technical stakeholders.
✨Express Your Passion for AI and Continuous Learning
Convey your enthusiasm for artificial intelligence and machine learning. Discuss any recent trends or technologies in the field that excite you, and mention how you stay updated with continuous learning and improvement.
