At a Glance
- Tasks: Lead impactful AI and data science projects from start to finish.
- Company: Join a dynamic team in a hybrid work environment in London.
- Benefits: Enjoy competitive pay, flexible working, and opportunities for growth.
- Other info: Great chance to enhance your skills in a supportive and collaborative setting.
- Why this job: Make a real difference with cutting-edge AI technology and innovative solutions.
- Qualifications: Experience in data science, machine learning, and cloud deployment required.
The predicted salary is between 60000 - 80000 € per year.
This is a rare opportunity to step into a senior, end to end role where you will take full ownership of high impact data science and AI projects during a critical period of transition. You will work across a genuinely mixed portfolio of traditional machine learning and modern generative AI, with real responsibility for design, deployment, and stakeholder outcomes.
You will join a blended Data Science and AI Engineering team, covering a maternity leave where projects are already live and business critical. You will own work end to end, from scoping and solution design through to production deployment and ongoing monitoring.
Key responsibilities include:
- Owning and delivering machine learning and AI projects from problem definition to production.
- Designing models from scratch across both structured and unstructured data use cases.
- Building and deploying LLM based solutions including summarisation and agentic workflows.
- Delivering traditional machine learning models using techniques such as gradient boosting.
- Working closely with product, engineering, and business stakeholders to define requirements and trade offs.
- Deploying models using cloud infrastructure, CI/CD pipelines, and MLOps best practices.
- Taking responsibility for monitoring, performance, and ongoing improvement of live models.
Your Skills and Experience:
- Strong commercial data science experience with a solid grounding in classical machine learning.
- Hands on experience deploying and owning models in production environments.
- Good understanding of LLMs and modern AI approaches, or clear capability to apply them in production.
- Experience working with cloud platforms and deployment pipelines, with exposure to CI/CD and MLOps.
- Confident working end to end, from exploratory analysis through to scalable deployment.
- Comfortable operating in regulated or complex environments.
- Strong stakeholder management and communication skills, with the ability to translate business needs into technical solutions.
AI Engineer (FTC) employer: Harnham
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact high-stakes AI projects. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work alongside industry experts in a hybrid environment that promotes work-life balance. Located in London, this role not only provides a competitive salary but also the unique advantage of being part of a team that is at the forefront of AI advancements.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer (FTC)
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with online communities. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your best projects, especially those involving machine learning and AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to data science and AI. Be ready to discuss your past projects in detail, focusing on your role in the end-to-end process and how you tackled challenges.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace AI Engineer (FTC)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the AI Engineer role. Highlight your experience with machine learning, LLMs, and any cloud platforms you've worked with. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and AI, and how your background makes you a perfect fit for this role. Don’t forget to mention specific projects you've worked on that relate to our needs.
Showcase Your Projects:If you've got a portfolio of projects, make sure to include it! We love seeing real examples of your work, especially those that demonstrate your ability to take ownership from problem definition to production deployment. It’s all about showing us what you can do!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining the StudySmarter team!
How to prepare for a job interview at Harnham
✨Know Your Stuff
Make sure you brush up on both classical machine learning and modern AI techniques. Be ready to discuss your hands-on experience with deploying models in production, especially LLMs. This will show that you’re not just familiar with the theory but can also apply it practically.
✨Showcase Your Projects
Prepare to talk about specific projects you've worked on, especially those where you took ownership from start to finish. Highlight how you defined problems, designed solutions, and monitored performance. This will demonstrate your end-to-end capabilities and give interviewers confidence in your skills.
✨Communicate Clearly
Since you'll be working closely with stakeholders, practice explaining complex technical concepts in simple terms. Think about how you can translate business needs into technical solutions. This will showcase your strong communication skills and ability to collaborate effectively.
✨Familiarise Yourself with CI/CD and MLOps
Understand the best practices around CI/CD pipelines and MLOps, as these are crucial for deploying models successfully. Be prepared to discuss your experience with cloud platforms and how you’ve implemented these practices in past roles. This will highlight your readiness for the responsibilities of the position.
