Lead Machine Learning Engineer (£200k + Equity) at Fyxer AI
Lead Machine Learning Engineer (£200k + Equity) at Fyxer AI

Lead Machine Learning Engineer (£200k + Equity) at Fyxer AI

Full-Time 144000 - 240000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the design of innovative ML systems to automate sales relationship management.
  • Company: Fyxer AI, a rapidly growing AI assistant platform with a collaborative culture.
  • Benefits: Competitive salary of £200k plus equity and high autonomy in your role.
  • Why this job: Join a fast-scaling company and make a real impact in the AI space.
  • Qualifications: Experience in ML/AI engineering and a strong product-focused mindset.
  • Other info: Access to a world-class human data team for accelerated model training.

The predicted salary is between 144000 - 240000 £ per year.

As the Lead Machine Learning Engineer, you will own the technical strategy for predicting user actions. You will design complex systems blending LLMs with traditional ML models to automate relationship management for sales teams. Working directly with the CTO, you will leverage a 60-person human data division to build world-class fine-tuned models.

Location: London, UK

Why this role is remarkable:

  • Exceptional growth trajectory, scaling from $0 to $30m ARR in less than a year with a fresh $30m Series B.
  • High-autonomy environment with no product managers, where engineers own the full strategy and execution of their business area.
  • Direct access to a world-class human data division of 60+ annotators from top AI labs to accelerate model training.

What you will do:

  • Select and implement optimal model architectures using a mixture of LLM steps and traditional machine learning models.
  • Define evaluation metrics and design production monitoring systems to identify and resolve model performance bottlenecks.
  • Collaborate with the human data team to procure high-quality training and validation datasets for subjective judgment tasks.

The ideal candidate:

  • Proven track record as an ML/AI engineer at a high-growth scaleup or as a founder of an AI-focused startup.
  • Deep technical expertise in Generative AI systems and recommendation engines developed over the last four years.
  • Product-focused mindset capable of translating user needs into technical decisions regarding model architecture and evaluation methods.

Lead Machine Learning Engineer (£200k + Equity) at Fyxer AI employer: Jack & Jill/External Ats

Fyxer AI is an exceptional employer, offering a high-autonomy environment where Lead Machine Learning Engineers can take ownership of their projects and directly influence the technical strategy. With a remarkable growth trajectory and access to a world-class human data division, employees are empowered to innovate and excel in their roles while enjoying competitive compensation and equity opportunities in the vibrant tech hub of London.
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Contact Detail:

Jack & Jill/External Ats Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Machine Learning Engineer (£200k + Equity) at Fyxer AI

Tip Number 1

Get to know Jack! He’s your go-to guy for understanding what you bring to the table and what you’re after in your career. A quick chat with him can open doors to opportunities you might not even know about.

Tip Number 2

Don’t be shy about showcasing your skills! When you talk to Jack, make sure to highlight your experience with machine learning and AI. The more he knows about your expertise, the better he can match you with the right roles.

Tip Number 3

Be proactive! After chatting with Jack, keep an eye on our website for new opportunities. We’re always updating our listings, and you don’t want to miss out on a chance to apply for that dream job.

Tip Number 4

Stay flexible and open-minded. If Jill doesn’t think you’re the perfect fit for this role, don’t worry! Jack will help you explore other fantastic options that align with your skills and ambitions.

We think you need these skills to ace Lead Machine Learning Engineer (£200k + Equity) at Fyxer AI

Machine Learning
Generative AI
Model Architecture Design
Data Evaluation Metrics
Production Monitoring Systems
Collaboration with Data Teams
Training Dataset Procurement
Recommendation Engines
Technical Strategy Development
Problem-Solving Skills
Product-Focused Mindset
High-Growth Scaleup Experience
User Needs Translation

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your technical expertise in machine learning and AI. We want to see how your experience aligns with the role, so don’t hold back on showcasing your past projects and achievements!

Tailor Your Application: Customise your application to fit the job description. Use keywords from the listing to demonstrate that you understand what Fyxer AI is looking for. This helps us see that you’re a perfect match for the Lead Machine Learning Engineer position.

Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see your qualifications without wading through fluff!

Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to connect you with Jack and ensure your application gets the attention it deserves. Plus, it’s super easy – just click 'Talk to Jack' and get started!

How to prepare for a job interview at Jack & Jill/External Ats

Know Your Models Inside Out

As a Lead Machine Learning Engineer, you’ll need to demonstrate deep technical expertise in Generative AI systems and recommendation engines. Brush up on the latest architectures and be ready to discuss how you would select and implement optimal models for Fyxer AI's needs.

Showcase Your Product-Focused Mindset

Fyxer AI is looking for someone who can translate user needs into technical decisions. Prepare examples from your past experiences where you successfully aligned technical strategies with user requirements, especially in high-growth environments.

Prepare for Technical Challenges

Expect to face technical questions that assess your problem-solving skills. Think about potential model performance bottlenecks and how you would design production monitoring systems to address them. Practising these scenarios can give you an edge.

Collaborate and Communicate

Since you'll be working closely with a human data team, be ready to discuss how you’ve collaborated with cross-functional teams in the past. Highlight your communication skills and how they helped in procuring high-quality training datasets.

Lead Machine Learning Engineer (£200k + Equity) at Fyxer AI
Jack & Jill/External Ats
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