At a Glance
- Tasks: Lead innovative AI and machine learning projects that transform creative workflows.
- Company: Join a forward-thinking tech company with a remote-first culture.
- Benefits: Enjoy competitive pay, generous time off, and private health coverage.
- Other info: Flexible remote work with a focus on autonomy and continuous improvement.
- Why this job: Shape the future of AI while working on exciting, impactful projects.
- Qualifications: Proven AI/ML leadership experience and strong programming skills in Python and C++.
The predicted salary is between 70000 - 90000 £ per year.
This position is listed on behalf of a partner company, who manages all applications and next steps.
Our partner is looking for an AI Director - Machine Learning based in the United Kingdom.
This role offers the opportunity to lead advanced AI and machine learning initiatives within a highly innovative engineering environment.
You will shape the strategy, development, and implementation of AI-driven solutions designed to transform creative workflows and unlock new possibilities.
Working at the intersection of research, engineering, and product innovation, you will guide teams in exploring emerging AI technologies and turning ideas into impactful solutions.
The position requires a visionary technical leader who can combine deep machine learning expertise with strong communication and collaboration skills.
You will play a key role in defining AI capabilities, establishing best practices, and driving experimentation in a fast-moving, remote-first environment.
- Accountabilities
- Lead the research, development, prototyping, and implementation of machine learning solutions to support innovative product experiences.
- Oversee AI and ML initiatives, including intelligent systems development, workflow optimization, and experimental prototypes.
- Identify opportunities to integrate generative AI technologies across production processes and translate concepts into actionable strategies.
- Collaborate with cross-functional teams to gather AI-related needs, prioritize opportunities, and deliver impactful solutions.
- Explore and develop AI models trained on internal data, including experimentation with local and specialized machine learning systems.
- Establish guidelines, frameworks, and best practices for agentic AI systems and emerging AI technologies.
- Educate technical and non-technical stakeholders on AI capabilities, limitations, and practical applications.
- Monitor advancements in AI research, models, tools, and industry trends to ensure continued innovation and technical excellence.
- Provide technical leadership, mentorship, and strategic direction to engineering teams working on AI-driven projects.
Requirements
- Previous experience in an AI/ML leadership role such as AI Director, AI Lead, Machine Learning Manager, or an equivalent position.
- Strong expertise in artificial intelligence, machine learning theory, algorithms, system design, and practical implementation.
- Advanced programming skills in Python and C++, with hands-on experience using machine learning frameworks such as Py Torch and Tensor Flow.
- Deep understanding of modern AI models, their capabilities, limitations, and appropriate use cases.
- Ability to design and evaluate machine learning solutions while balancing research exploration with practical execution.
- Excellent communication skills, with the ability to explain complex AI concepts clearly to both technical and non-technical audiences.
- Collaborative and mentoring-oriented mindset with a passion for innovation, problem-solving, and knowledge sharing.
- Experience in game development or interactive entertainment environments is a plus but not required.
- Ability to stay current with rapidly evolving AI technologies and apply emerging approaches effectively.
Benefits
- Fully remote working environment with flexibility to work from different regions worldwide.
- Competitive compensation package with additional benefits depending on location.
- Generous paid time off allowance.
- Company-wide summer and winter holiday closures separate from standard PTO.
- Private medical and dental healthcare coverage.
- Private mental health support program.
- Annual health and wellbeing allowance.
- Discretionary studio bonus opportunities.
- High-quality technology equipment provided for home office setup.
- Additional regional benefits based on location.
- Opportunity to work on ambitious AI-driven projects within a collaborative and innovative engineering culture.
- Strong focus on autonomy, continuous improvement, and meaningful impact rather than hours worked.
- #J-18808-Ljbffr
AI Director - Machine Learning employer: Jobgether
At Jobgether, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our remote working environment allows for flexibility while providing ample opportunities for professional growth and development in the tech industry. Join us to make a meaningful impact in enhancing open-source technology adoption, all while enjoying the benefits of a supportive team and a commitment to your career advancement.
StudySmarter Expert Advice🤫
We think this is how you could land AI Director - Machine Learning
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Jobgether or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Jobgether.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Jobgether.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Jobgether that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Director - Machine Learning
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Jobgether.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Jobgether and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Jobgether
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Jobgether uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
