At a Glance
- Tasks: Lead complex machine learning projects from start to finish, solving real-world problems.
- Company: Join a multidisciplinary data and AI team in a secure, innovative environment.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on collaboration and continuous improvement.
- Why this job: Make a real impact with cutting-edge ML solutions that matter.
- Qualifications: Proven experience in machine learning, strong Python skills, and a solid understanding of data ethics.
The predicted salary is between 70000 - 90000 € per year.
We're looking for a Senior Machine Learning Engineer to join a multidisciplinary data and AI team delivering high-impact, real-world solutions in a secure and highly regulated environment.
You'll operate with a high degree of autonomy, leading complex machine learning work end-to-end through technical depth, sound judgement, and delivery credibility. Machine learning is built in-house only where problems are genuinely complex, niche, or sensitive - requiring experimentation, evaluation, and iteration beyond what can be bought. You'll take ownership of complex ML problems, applying scientific thinking and pragmatism in equal measure.
- Lead end-to-end machine learning delivery, from problem definition through experimentation, evaluation, and iteration
- Apply mathematical, statistical, and scientific reasoning to form hypotheses, quantify uncertainty, and interpret results
- Design and run structured experiments to assess model behaviour, performance, and user impact
- Work with real, imperfect operational data, not just curated or static datasets
- Collect, assess, and transform data to support model evaluation and continuous improvement
- Integrate machine learning components into wider systems, considering performance, reliability, and operational constraints
- Collaborate with internal teams and selected external partners working at the leading edge of AI
This role suits a senior ML practitioner who values judgement, evidence, and outcomes over theoretical or tooling purity.
- Proven experience operating at senior practitioner level as a Machine Learning Engineer, AI Engineer, Applied ML Scientist, or equivalent
- Strong grounding in applied mathematics, statistics, and scientific practice
- Demonstrated ability to evaluate ML models using quantitative evidence and structured experimentation
- Excellent Python skills for building, evaluating, and iterating on ML solutions
- Experience working with real-world, imperfect data from operational systems
- Strong software engineering practices, including readable, maintainable, and well-tested code
- Experience integrating ML components into broader production systems
- Clear understanding of data ethics, privacy, and responsible use of data
- Python for experimentation, modelling, and evaluation
- AWS, including services such as SageMaker and Bedrock
- Internally supported AI development platforms and tooling
- Background in sectors such as energy, oil & gas, defence, or public sector
- Comfort operating at pace where quality, safety, and compliance are non-negotiable
If you enjoy solving complex problems, applying scientific thinking to messy reality, and delivering ML that stands up to scrutiny, this role offers both challenge and meaning.
Senior Machine Learning Engineer (M/F/D) in London employer: Lorien
As a Senior Machine Learning Engineer, you'll thrive in a dynamic and innovative environment that prioritises autonomy and impactful problem-solving. Our company fosters a collaborative culture where your expertise will be valued, offering ample opportunities for professional growth and development while working on complex, real-world challenges. Located in a secure and highly regulated setting, we provide the unique advantage of tackling genuine machine learning problems with cutting-edge technology and a commitment to ethical data use.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer (M/F/D) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other ML enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's GitHub repos or a personal website, let your work speak for itself. This is your chance to shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining your thought process clearly and concisely. Remember, they want to see how you tackle real-world problems!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight how your experience aligns with our mission and values.
We think you need these skills to ace Senior Machine Learning Engineer (M/F/D) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Machine Learning Engineer role. Highlight your experience with real-world data, Python skills, and any relevant projects that showcase your ability to tackle complex ML problems.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about machine learning and how your background aligns with our mission at StudySmarter. Share specific examples of your work that demonstrate your problem-solving skills and scientific approach.
Showcase Your Projects:If you've worked on interesting ML projects, don’t hesitate to include them in your application. We love seeing practical applications of your skills, especially those that involve experimentation and iteration with real data.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Lorien
✨Know Your ML Stuff
Brush up on your machine learning fundamentals and be ready to discuss your past projects in detail. Be prepared to explain the reasoning behind your choices, especially when it comes to model selection and evaluation methods.
✨Showcase Your Problem-Solving Skills
Think of specific examples where you've tackled complex ML problems. Highlight your approach to experimentation and iteration, and how you used real-world data to drive your decisions. This will demonstrate your ability to apply scientific thinking in practice.
✨Familiarise Yourself with Their Environment
Research the company’s focus areas, especially if they operate in sectors like energy or defence. Understanding their challenges and how your skills can address them will show that you're genuinely interested and ready to contribute.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions, especially around Python, AWS, and integrating ML components. Practise explaining your code and thought processes clearly, as communication is key in a multidisciplinary team.
