At a Glance
- Tasks: Lead a dynamic team of AI and ML experts to create innovative solutions.
- Company: Resolver, a forward-thinking company focused on risk management.
- Benefits: Competitive salary, generous holiday, health plans, and flexible working options.
- Why this job: Make a real impact in AI while leading a passionate team.
- Qualifications: Degree in computer science or equivalent experience in machine learning.
- Other info: Join a collaborative culture with excellent career growth opportunities.
The predicted salary is between 43200 - 72000 £ per year.
This role is to lead and inspire a dedicated team of Data Scientists, Machine Learning (ML) and Artificial Intelligence (AI) experts in developing innovative, machine-driven solutions aimed at achieving the Resolver Mission - to provide practitioners with unparalleled foresight into risk and the tools to act decisively to mitigate them.
As a leader across the UK and Canada, the role will lead the team effectively, managing stakeholders, planning and executing on agreed plans and building continuous professional development directly into our work environment.
Description of the role:
- Work with the Product Team to ensure we’re building the right thing, at the right time, at the right level of investment.
- Enable the team to maximize their impact by providing oversight, support, and guidance through coordinating best use of resources, reviewing projects and potential risks, and resolving bottlenecks.
- Own the team’s processes to balance innovation, research and development and business as usual activity.
- Partner with the Talent Team on applicable hiring decisions as an active part of the hiring process.
- Help build training materials and documentation designed to maximize time-to-productivity of new hires, and to help new developers learn.
- Mentor and coach the team in the achievement of OKRs and personal performance objectives.
- Provide regular one-on-one feedback to improve performance while proactively seeking opportunities to celebrate wins within the team.
- Leading on identifying opportunities for innovation across new data science, Machine Learning and Artificial Intelligence capabilities.
- Deploying and exposing this capability to product, engineering and supportive functions to make sure the AI capability is understood, adopted and utilised to its greatest potential.
- Responsible for best practice governance, architecture and implementation of technical capability to ensure effective training, testing and monitoring takes place.
- Making sure the capability we create is as performant as it can be and that relevant evaluation metrics and business metrics are chosen for the specific use case.
- Oversee the development, testing, and deployment of relevant capability, including ongoing quality and financial monitoring.
- Develop and implement a strategic vision for AI and ML initiatives that align with the organisation's mission to protect users from digital harms.
- Drive innovation by staying up to date with the latest advancements in AI and ML technologies and incorporating them into the organisation’s solutions.
- Collaborate with colleagues across Data, Engineering, and Product Leads to aid the knowledge propagation and to deliver comprehensive ML solutions.
Essential Qualifications and Experience:
- Degree educated in a computer science, mathematics or related discipline (or equivalent) OR demonstrable experience in the industry of machine learning.
- Strong leadership and operational delivery skills to use risk analysis, artificial intelligence and machine learning to drive business value.
- Ability to bridge the gap between business and technology with respect to machine learning and risk detection.
- Strong analytical skills to effectively create recommendations, influence decision-making, assess impacts, compare solutions, problem solve, and achieve business and/or technical objectives.
- High accountability for the successful delivery.
- Proven track record in developing and implementing AI algorithms.
- Deep understanding of machine learning technologies and capabilities.
- A strong understanding of operational delivery processes and how to embed machine detection effectively into the organisation.
- A strong understanding of both the technical aspects of machine learning as well as business needs.
Benefits:
Our rewards are as unique as our culture, and we want to attract the best people and retain them. Not only will we ensure that your development is key, but you will be joining a fantastic team of like-minded people who work together as one team to achieve a shared vision. We offer an excellent salary and benefits package which includes:
- Market competitive pay rates based on your skills and experience.
- Discretionary bonus scheme / commission scheme with payment based on revenue generated as a result of generated sales leads.
- 33 days holiday including Bank Holidays.
- Critical Illness insurance.
- Life Insurance Cover.
- Healthcare Cash Plan / Healthcare, dental and vision plan.
- An attractive pension / 401k retirement plan scheme.
- Cycle to Work Scheme.
- Employee perks schemes offering discounts, rewards, giveaways and more.
- Mental health wellbeing portal and access to an in-house clinical psychologist.
- Flexible working opportunities.
AI Team Leader in Leeds employer: Resolver
Contact Detail:
Resolver Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Team Leader in Leeds
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and ML space. Attend meetups, webinars, or even local events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and machine learning. This will give potential employers a taste of what you can bring to the table and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI leadership roles. Think about how you would handle team dynamics, project management, and innovation challenges. Confidence is key!
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Team Leader in Leeds
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in AI and ML. We want to see how your skills align with the role, so don’t hold back on showcasing your leadership and technical expertise!
Showcase Your Achievements: When detailing your past experiences, focus on specific projects where you’ve made a significant impact. Use metrics and examples to illustrate how you’ve driven innovation and delivered results in previous roles.
Be Authentic: Let your personality shine through in your application. We’re looking for someone who can inspire and lead a team, so don’t be afraid to share your passion for AI and how you envision contributing to our mission.
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 this exciting opportunity with our team!
How to prepare for a job interview at Resolver
✨Know Your AI Stuff
Make sure you brush up on the latest advancements in AI and ML technologies. Be ready to discuss how these can be applied to real-world problems, especially in risk detection. Showing that you’re not just knowledgeable but also passionate about the field will definitely impress.
✨Showcase Your Leadership Skills
As an AI Team Leader, your ability to inspire and manage a team is crucial. Prepare examples of how you've successfully led teams in the past, tackled challenges, and fostered innovation. Highlight your experience in mentoring and coaching, as this will resonate well with the interviewers.
✨Bridge the Gap
Be ready to demonstrate how you can connect technical AI solutions with business needs. Think of specific instances where you’ve translated complex technical concepts into actionable business strategies. This will show that you understand both sides of the coin and can drive value effectively.
✨Prepare for Scenario Questions
Expect questions that ask how you would handle specific situations, like managing project risks or resolving team bottlenecks. Practise articulating your thought process clearly and logically. This will help the interviewers see your problem-solving skills in action.