Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead innovative AI projects and guide technical direction for machine learning systems.
- Company: Dynamic tech company focused on innovation and team growth.
- Benefits: Unlimited annual leave, private healthcare, flexible working, and coaching support.
- Why this job: Shape the future of AI while mentoring a talented team in a collaborative environment.
- Qualifications: Expertise in Python, cloud solutions, and experience with ML frameworks.
- Other info: Diverse and inclusive workplace with excellent career development opportunities.
The predicted salary is between 43200 - 72000 £ per year.
Join us as a Lead Machine Learning Engineer to spearhead the technical direction and delivery of complex, innovative AI projects. You will act as a technical expert, applying your skills across various projects from AI strategy to client-side deployments, while ensuring architectural decisions are sound and reliable. This role demands a balance of deep technical expertise and strong leadership, focusing on driving innovation, fostering team growth, and building reusable solutions across the organisation. If you’re ready to manage high-risk projects and deliver practical, innovative outcomes, this is your chance to shape our future.
What you’ll be doing:
- Setting the technical direction for complex ML projects, balancing trade-offs, and guiding team priorities.
- Designing, implementing, and maintaining reliable, scalable ML/software systems and justifying key architectural decisions.
- Defining project problems, developing roadmaps, and overseeing delivery across multiple workstreams in often ill-defined, high-risk environments.
- Driving the development of shared resources and libraries across the organisation and guiding other engineers in contributing to them.
- Leading hiring processes, making informed selection decisions, and mentoring multiple individuals to foster team growth.
- Proactively developing and executing recommendations for adopting new technologies and changing our ways of working to stay ahead of the competition.
- Acting as a technical expert and coach for customers, accurately estimating large work-streams and defending rationale to stakeholders.
Who we’re looking for:
- You are a technical expert among your peers, capable of going deep on particular topics and demonstrating breadth of knowledge to solve almost any problem.
- You possess strong Python skills and practical experience operationalising models using frameworks like Scikit-learn, TensorFlow, or PyTorch.
- You are an expert in at least one major Cloud Solution Provider (e.g., Azure, GCP, AWS) and have led teams to build full-stack web applications.
- You have hands-on experience with containerisation tools like Docker and orchestration via Kubernetes.
- You can successfully manage and coach a team of engineers, setting team-wide development goals to improve client delivery.
- You find novel, clever solutions for project delivery and take ownership for successful project outcomes.
- You’re an excellent communicator who can proactively help customers achieve their goals and guide both technical teams and non-technical stakeholders.
The Interview Process:
- Talent Team Screen (30 minutes)
- Introduction to the role (45 minutes)
- Pair Programming Interview (90 minutes)
- System Design Interview (90 minutes)
- Commercial & Leadership Interview (60 minutes)
Our Recruitment Ethos:
We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
Some of our standout benefits:
- Unlimited Annual Leave Policy
- Private healthcare and dental
- Enhanced parental leave
- Family-Friendly Flexibility & Flexible working
- Sanctus Coaching
- Hybrid Working (2 days in our Old Street office, London)
If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please do apply or reach out to our Talent Acquisition team for a confidential chat - Please know we are open to conversations about part-time roles or condensed hours.
Lead Machine Learning Engineer employer: Faculty
Contact Detail:
Faculty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to ML projects. Use mock interviews with friends or mentors to build confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace Lead Machine Learning Engineer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with machine learning and leadership. We want to see how your skills align with the role, so don’t hold back on showcasing your technical expertise!
Showcase Your Projects: Include specific examples of past projects where you’ve led teams or implemented innovative solutions. We love seeing real-world applications of your skills, especially if they relate to AI and ML!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences are easy to read and understand.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Faculty
✨Know Your Tech Inside Out
As a Lead Machine Learning Engineer, you’ll need to showcase your deep technical expertise. Brush up on your Python skills and be ready to discuss frameworks like Scikit-learn, TensorFlow, or PyTorch. Prepare to explain your architectural decisions and how they impact project outcomes.
✨Demonstrate Leadership Skills
This role requires strong leadership, so think about examples where you've successfully managed teams or projects. Be prepared to discuss how you set development goals and foster team growth. Highlight your experience in mentoring others and making informed hiring decisions.
✨Prepare for Technical Challenges
Expect to face technical challenges during the interview, especially in the pair programming and system design interviews. Practice coding problems and system design scenarios relevant to machine learning. Familiarise yourself with containerisation tools like Docker and orchestration via Kubernetes.
✨Communicate Effectively
You’ll need to bridge the gap between technical teams and non-technical stakeholders. Practice explaining complex concepts in simple terms. Think of examples where you’ve helped customers achieve their goals and how you’ve communicated project updates to various audiences.