Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a team of AI/ML engineers and deliver innovative client-facing solutions.
- Company: Firemind is a leading specialist in Generative AI and Data Modernisation, recognised for innovation.
- Benefits: Enjoy flexible hybrid work, collaborate with skilled engineers, and contribute to impactful AI projects.
- Why this job: Shape the future of AI while working in a supportive, low-ego environment with real-world impact.
- Qualifications: Experience in AI/ML engineering, strong Python skills, and familiarity with AWS services required.
- Other info: Opportunity to influence Firemind's growth in Finland and work on cutting-edge AI technologies.
The predicted salary is between 36000 - 60000 £ per year.
Location: UK, Finland (Hybrid)
About Firemind
Firemind is a specialist in Generative AI and Data Modernisation and an AWS Premier Partner. We help our clients take ideas from concept to production by building scalable AI and cloud solutions that solve real business challenges. We were recently recognised at the AWS GenAI Innovation Awards, placing just after Nvidia - this is a big milestone for our small and focused team!
The Role
We’re looking for an AI/ML Engineering Lead to manage and support our AI and machine learning team. This role combines hands-on technical work with people leadership. You’ll guide a group of skilled engineers, support their development, and work directly on client-facing projects within our Professional Services team. You’ll play a key role in solving real-world problems with AI, working with customers across different industries. As we grow internationally, this role also gives you the chance to shape how we scale and operate, particularly as we expand our presence in Finland.
Key Responsibilities
- Team leadership and development
- Manage and support a team of AI/ML engineers through regular 1:1 meetings and coaching.
- Help the team stay focused, balanced, and aligned with project goals.
- Spend approximately 1.5 days per week on leadership duties such as planning, mentoring, and team development.
- Work with Firemind’s Professional Services team to design and deliver client-facing AI and ML solutions.
- Build production-ready systems using Python, AWS, and modern machine learning frameworks.
- Collaborate with data engineers, solution architects, and customer teams to understand business needs and deliver high-impact outcomes.
- Guide internal technical practices and contribute to reusable assets and tools.
- Explore and apply the latest in AI, including generative models and prompt engineering.
What We’re Looking For
- Solid experience as an AI or ML Engineer or Data Scientist, including leading technical projects.
- Experience delivering AI or ML solutions in client-facing or consulting settings.
- Strong programming skills in Python and familiarity with AWS services such as S3, Lambda, and SageMaker.
- Experience with Generative AI Models, including building, fine-tuning, and deploying generative models.
- Deep understanding of Natural Language Processing (NLP) techniques like transformer models, attention mechanisms, tokenization, and embeddings.
- Experience mentoring or leading team members.
- Strong communication skills, with the ability to explain technical concepts clearly to both technical and non-technical audiences.
Nice to Have
- Degree in Computer Science, Data Science, or a related field.
- AWS certifications (Associate, Professional, or Specialty).
- Knowledge of Reinforcement Learning, especially in how it applies to decision-making models.
- Experience with Computer Vision models and frameworks, including CNNs and GANs, particularly for image data use cases.
- Experience working in B2B or consulting environments.
- Familiarity with DevOps or MLOps practices.
Why Join Firemind
- Work on real AI solutions with practical impact.
- Flexible hybrid or remote work with hubs in the UK and Finland.
- Collaborate with experienced engineers in a low-ego, high-skill environment.
- Flat structure where your ideas are heard and experimentation is encouraged.
- Work closely with AWS and stay ahead in applied AI.
- Be part of building Firemind’s presence in Finland and help shape how we operate and grow locally.
How to Apply
If you’re an AI /ML engineer ready to lead meaningful, client-facing projects, we’d love to hear from you! Please submit your CV and application through our recruitment system using the link below, so we can process your information correctly. At Firemind, we build useful AI with great people. Let’s talk.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Consulting, Information Technology, and Engineering
Industries: IT Services and IT Consulting
Artificial Intelligence/Machine Learning Engineering Lead employer: Firemind
Contact Detail:
Firemind Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence/Machine Learning Engineering Lead
✨Tip Number 1
Familiarise yourself with Firemind's recent projects and achievements, especially their recognition at the AWS GenAI Innovation Awards. This knowledge will help you demonstrate your genuine interest in the company during any discussions.
✨Tip Number 2
Highlight your experience in leading AI/ML teams and projects. Be prepared to discuss specific examples of how you've mentored team members and contributed to their professional development, as this is a key aspect of the role.
✨Tip Number 3
Brush up on your technical skills, particularly in Python and AWS services like S3 and SageMaker. Being able to speak confidently about your hands-on experience with these technologies will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your understanding of generative AI models and NLP techniques. Given the focus on these areas in the job description, showcasing your expertise will demonstrate that you're well-suited for the position.
We think you need these skills to ace Artificial Intelligence/Machine Learning Engineering Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI and machine learning. Focus on your leadership roles, technical projects, and any client-facing work you've done. Use keywords from the job description to align your skills with what Firemind is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and ML, and explain why you want to work at Firemind specifically. Mention how your experience aligns with their focus on generative AI and data modernisation, and include examples of past successes in similar roles.
Showcase Technical Skills: Be specific about your programming skills, especially in Python and AWS. If you have experience with generative models or NLP techniques, make sure to highlight these. Consider including a brief project summary that demonstrates your technical expertise.
Prepare for Potential Questions: Think about the types of questions you might be asked during an interview. Be ready to discuss your leadership style, how you manage teams, and your approach to solving complex AI problems. Practising your responses can help you feel more confident.
How to prepare for a job interview at Firemind
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with AI and ML technologies, particularly in Python and AWS. Highlight specific projects where you've successfully delivered client-facing solutions, as this will demonstrate your hands-on capabilities.
✨Emphasise Leadership Skills
Since the role involves managing a team, share examples of how you've led or mentored others in previous positions. Discuss your approach to team development and how you keep your team aligned with project goals.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. This is crucial as you'll need to communicate effectively with both technical and non-technical stakeholders. Consider preparing a few examples to illustrate your points.
✨Stay Updated on AI Trends
Familiarise yourself with the latest advancements in AI, especially generative models and NLP techniques. Being knowledgeable about current trends will not only impress your interviewers but also show your passion for the field.