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For Companies At a Glance
- Tasks: Lead AI projects, mentor junior data scientists, and design innovative software solutions.
- Company: Join Faculty, a leader in human-centric AI with a collaborative culture.
- Benefits: Enjoy unlimited annual leave, private healthcare, and family-friendly flexibility.
- Why this job: Make a real impact in AI while shaping the future of technology.
- Qualifications: Senior experience in data science, strong Python skills, and leadership mindset.
- Other info: Flexible working options and opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
As a Senior Machine Learning Scientist, you will lead high-impact AI projects and shape the technical direction of bespoke solutions. This role requires hands-on technical excellence combined with crucial team leadership. You will define data science approaches, design robust software architectures, mentor junior colleagues, and ensure delivery rigour across projects all while building deep client relationships and solidifying our reputation as a leader in practical, measurable AI.
Responsibilities
- Mapping the end-to-end data science approach and designing the associated software.
- Leading project teams that deliver bespoke algorithms and high-stakes AI solutions to clients across the sector.
- Conceiving the core data science approach and designing the associated robust software architecture for new engagements.
- Mentoring a small number of data scientists and supporting the professional growth of technical team members on projects.
- Partnering with commercial teams to build client relationships and shape project scope for technical feasibility.
- Contributing to Faculty's thought leadership and reputation through delivering courses, public speaking, or open-source projects.
- Ensuring best practices are followed throughout the project lifecycle to guarantee high-quality, impactful delivery.
Qualifications
- Senior experience in a professional data science position or a quantitative academic field.
- Strong programming skills with fluency in Python and core libraries (NumPy, Pandas) and a deep-learning framework such as PyTorch.
- Deep expertise in core data science paradigms (supervised/unsupervised learning, NLP, validation) and ability to develop innovative algorithms.
- Leadership mindset focused on growing technical capabilities of the team and nurturing a collaborative culture.
- Commercial awareness with experience in client-facing work and ability to translate business problems into a rigorous mathematical framework.
- Skilled in project planning, assessing technical feasibility, estimating delivery timelines, and leading a team to deliver high-quality work on a strict schedule.
- Knowledge of responsible AI and ethical, reliable, cutting-edge AI solutions for high-stakes environments.
- Eligibility for UK Security Clearance (SC) if working with defence clients.
- Willingness to work between 2–4 days per week on-site with customers, with travel across the UK; flexible to work from London office or remotely otherwise.
About Faculty
Established in 2014, Faculty has worked with over 350 global customers to transform their performance through human-centric AI. We innovate, build and deploy responsible AI that moves the needle, and we bring unparalleled depth of technical, product and delivery expertise to clients in government, finance, retail, energy, life sciences and defence. Our business and reputation are growing fast, and we are always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.
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)
Senior Machine Learning Scientist in Westminster employer: Faculty AI
Contact Detail:
Faculty AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Scientist in Westminster
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and data science community. Attend meetups, webinars, or conferences where you can chat with industry leaders and potential colleagues. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those that highlight your leadership and technical prowess. Share it on platforms like GitHub or your personal website, and don’t forget to link it in your applications through our site!
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to machine learning and team leadership. Mock interviews with friends or mentors can help you refine your answers and boost your confidence before the big day.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in leaving a positive impression. It shows your enthusiasm for the role and keeps you fresh in their minds as they make their decision.
We think you need these skills to ace Senior Machine Learning Scientist in Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Machine Learning Scientist. Highlight your experience with AI projects, programming skills in Python, and any leadership roles you've had. We want to see how you can lead high-impact projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our mission at StudySmarter. Don’t forget to mention your experience in mentoring and client-facing roles.
Showcase Your Projects: If you've worked on any relevant projects, especially those involving bespoke algorithms or high-stakes AI solutions, make sure to include them. We love seeing practical examples of your work that demonstrate your technical excellence and innovative thinking.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Faculty AI
✨Know Your Stuff
Make sure you brush up on your technical skills, especially in Python and the core libraries like NumPy and Pandas. Be ready to discuss your experience with deep learning frameworks like PyTorch and how you've applied them in past projects.
✨Show Your Leadership Skills
Since this role involves mentoring and leading teams, think of examples where you've successfully guided others or led a project. Be prepared to share how you foster collaboration and growth within your team.
✨Understand the Business Side
This position requires a strong commercial awareness. Familiarise yourself with how data science can solve business problems and be ready to discuss how you've translated complex technical concepts into actionable insights for clients.
✨Prepare for Ethical AI Discussions
Given the focus on responsible AI, be ready to talk about your understanding of ethical considerations in AI projects. Think about how you've ensured best practices in your previous work and how you would apply that at Faculty.
