AI Team Leader

AI Team Leader

Full-Time 43200 - 72000 £ / year (est.) No home office possible
Resolver

At a Glance

  • Tasks: Lead a dynamic team of AI and ML experts to create innovative solutions.
  • Company: Join Resolver, a Kroll business, committed to inclusivity and innovation.
  • Benefits: Enjoy competitive pay, 33 days holiday, flexible working, and wellness support.
  • Why this job: Make a real impact in AI while mentoring a passionate team.
  • Qualifications: Degree in computer science or proven experience in machine learning required.
  • Other info: Be part of 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.

This work meets the requirements in respect of exempted questions under the Rehabilitation of Offenders Act 1974, any applicants who are offered work for this organisation will be subject to an enhanced check from the Disclosure and Barring Service (DBS). This will include details of cautions, reprimands or final warnings as well as convictions. A criminal record will not automatically bar a person from successfully taking up this post. Resolver, a Kroll business is committed to creating an inclusive work environment. We are proud to be an equal opportunity employer and will consider all qualified applicants regardless of gender, gender identity, race, religion, color, nationality, ethnic origin, sexual orientation, marital status, veteran status, age or disability.

AI Team Leader employer: Resolver

Resolver, a Kroll business, is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the AI Team Leader role. With a strong emphasis on professional development, employees benefit from a comprehensive rewards package, including competitive salaries, flexible working opportunities, and access to mental health resources, all while working alongside a dedicated team committed to making a meaningful impact in risk management across the UK and Canada.
Resolver

Contact Detail:

Resolver Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Team Leader

✨Tip Number 1

Network like a pro! Reach out to your connections in the AI and ML space. Attend meetups, webinars, or conferences where you can meet potential employers or 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 related to AI and ML. This could be anything from GitHub repositories to case studies. When you apply through our website, make sure to highlight these in your application!

✨Tip Number 3

Prepare for interviews by brushing up on common AI and ML questions. Think about how your experience aligns with the role of an AI Team Leader. Practice articulating your leadership style and how you’ve driven innovation in past roles.

✨Tip Number 4

Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in their minds. Plus, it’s a great opportunity to reiterate why you’re the perfect fit for the team!

We think you need these skills to ace AI Team Leader

Leadership Skills
Operational Delivery Skills
Risk Analysis
Artificial Intelligence (AI)
Machine Learning (ML)
Analytical Skills
Problem-Solving Skills
Technical Understanding of AI and ML
Project Management
Stakeholder Management
Innovation and Creativity
Collaboration Skills
Mentoring and Coaching
Strategic Vision Development
Quality Assurance

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 our mission, so don’t hold back on showcasing your relevant projects!

Showcase Leadership Skills: As an AI Team Leader, we’re looking for someone who can inspire and guide a team. Share examples of how you’ve led teams or projects in the past, and how you’ve helped others achieve their goals.

Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it’s necessary. We appreciate a well-structured application that gets straight to the point!

Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at Resolver

✨Know Your AI and ML Stuff

Make sure you brush up on the latest advancements in AI and machine learning technologies. Be ready to discuss how these can be applied to real-world problems, especially in risk detection and mitigation. This shows you're not just knowledgeable but also passionate about the field.

✨Showcase Your Leadership Skills

Prepare examples of how you've successfully led teams in the past. Highlight your ability to mentor and coach others, as well as how you've managed stakeholder expectations. This role is all about inspiring a team, so demonstrate your leadership style and how it aligns with the company's mission.

✨Understand the Business Side

Be ready to bridge the gap between technology and business needs. Think about how your technical skills can drive business value and how you've done this in previous roles. This will show that you can not only lead a team but also understand the bigger picture.

✨Prepare for Scenario Questions

Expect questions that ask how you'd handle specific challenges, like resolving bottlenecks or managing project risks. Think through potential scenarios and how you would approach them. This will help you demonstrate your problem-solving skills and strategic thinking.

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