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- Tasks: Join a dynamic team to build AI-driven products and solve complex challenges.
- Company: Be part of a stealth mode start-up revolutionizing IP intelligence with cutting-edge AI technology.
- Benefits: Enjoy a competitive salary, equity options, and the chance to work in a vibrant London office.
- Why this job: Make a meaningful impact while collaborating with innovative minds in a fast-growing environment.
- Qualifications: 3-5 years of experience in deploying production-grade AI applications; strong problem-solving skills required.
- Other info: Work onsite in London, 5 days a week, and embrace a culture of creativity and growth.
The predicted salary is between 68000 - 102000 £ per year.
Job Title: ML Engineer // Software Engineer – ML Salary: £85-£95K + Equity (0.5-0.8%). Industry: AI / ML Location: London – 5 days in the office Type of Employment: Full-time/Permanent Our Client Immersum continue to support a stealth mode start-up that is changing the game with IP intelligence, powered by AI. You will join the 2 Founders and a team of 4 Engineers in their journey to build their product, solving complex challenges and making a meaningful difference in the world. They have just received a large round of funding from one of the largest VC’s in the tech and AI space and are looking to capitalise on the growth of the business by bringing in an ML Engineer. Job Description: You will play a key role across the entire platform, from backend to ML to infrastructure, focusing on building pipelines that retrieve rich web data. You’ll collaborate closely with the engineering team and working with the ML Team Lead responsible for creating crawl-to-index pipelines that handle millions of unstructured documents, such as patents, designs, and product descriptions. In addition to developing ML and LLM-based pipelines, you’ll be responsible for productionising our models, which includes tasks such as serving fine-tuned embeddings, managing, maintaining, and versioning GPU models, and orchestrating the interface between our backend services and LLM output . Their Stack: Python, Java, Spark, ElasticSearch, PostgreSQL, TypeScript, React All programming languages considered as long as you are happy working in their stack. Requirements: You are a thoughtful problem solver with a proven track record of deploying production grade AI apps (3-5 years of experience). You approach problems holistically, think critically about the value add of what you are building and the implications of your technical decisions on the product, user and technical architecture. You take pride in the value of the product you build, its maintainability and the quality of your code. You are self sufficient and are comfortable with ambiguity and with managing your own goals. This role requires that you work onsite in London 5 days a week.
Machine Learning Engineer employer: Immersum
Contact Detail:
Immersum Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, such as Python, Java, and Spark. Having hands-on experience or projects that showcase your skills in these areas will make you stand out during the interview process.
✨Tip Number 2
Prepare to discuss your previous experiences with deploying production-grade AI applications. Be ready to share specific examples of challenges you faced and how you overcame them, as this will demonstrate your problem-solving abilities.
✨Tip Number 3
Since the role involves collaboration with a small team, think about how you can showcase your teamwork skills. Prepare anecdotes that highlight your ability to work effectively with others, especially in ambiguous situations.
✨Tip Number 4
Research the company and its mission thoroughly. Understanding their focus on IP intelligence and how AI plays a role in their product will help you align your answers with their goals during the interview.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and software engineering. Focus on projects where you've deployed production-grade AI applications, and mention specific technologies from their stack like Python, Java, or Spark.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your problem-solving skills and experience align with their needs, particularly in building ML pipelines and handling unstructured data.
Showcase Your Projects: If you have any personal or professional projects that demonstrate your ability to work with ML models or large datasets, include them in your application. Provide links to GitHub repositories or live demos if possible.
Highlight Collaboration Skills: Since the role involves working closely with a team, emphasize your collaboration skills. Mention any experience you have working in teams, especially in agile environments, and how you contributed to successful project outcomes.
How to prepare for a job interview at Immersum
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific examples of how you've tackled complex challenges in your previous roles. Highlight your thought process and the impact of your solutions on the product and architecture.
✨Demonstrate Technical Proficiency
Familiarize yourself with the tech stack mentioned in the job description. Be ready to discuss your experience with Python, Java, Spark, and other relevant technologies, and how you've applied them in real-world scenarios.
✨Emphasize Collaboration
Since you'll be working closely with a small team, emphasize your ability to collaborate effectively. Share examples of successful teamwork and how you’ve contributed to collective goals in past projects.
✨Prepare for Ambiguity
This role requires comfort with ambiguity. Think of instances where you've navigated uncertain situations or managed your own goals without clear direction, and be ready to share those experiences.
