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: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Exciting role with potential for career advancement in a fast-paced industry.
- Why this job: Make a real difference with cutting-edge AI technologies and innovative solutions.
- Qualifications: Experience in data science, machine learning, and cloud deployment.
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.
The Role
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) in London 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) in London
✨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 brushing up on both technical and soft skills. Be ready to discuss your past projects in detail, and practice explaining complex concepts in simple terms. Remember, communication is key!
✨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 that way.
We think you need these skills to ace AI Engineer (FTC) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with machine learning, AI projects, and any relevant cloud platforms. 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 the perfect fit for this role. Share specific examples of your past projects and how they relate to the responsibilities listed in the job description. Let us know what excites you about working with us!
Showcase Your Technical Skills:Don’t forget to mention your hands-on experience with deploying models and using CI/CD pipelines. We’re looking for someone who can hit the ground running, so make sure we see your technical prowess right from the start!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows us you’re keen to join the StudySmarter family!
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 role is all about taking ownership, so show them you know how to handle projects from start to finish.
✨Showcase Your Projects
Prepare to talk about specific projects you've worked on that align with the job description. Highlight your experience with cloud platforms, CI/CD pipelines, and MLOps. Use examples that demonstrate your ability to deliver impactful results and how you managed stakeholder expectations.
✨Communicate Clearly
Since this role involves working closely with various stakeholders, practice explaining complex technical concepts in simple terms. Think about how you can translate business needs into technical solutions. Good communication skills can set you apart from other candidates.
✨Ask Insightful Questions
Prepare some thoughtful questions about the team, ongoing projects, and the company’s approach to AI and data science. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you. Plus, it gives you a chance to engage with your interviewers on a deeper level.
