Machine Learning Engineer
2 weeks ago
Are you a Machine Learning Engineer ready to kickstart your career in AI?
We're looking for a
driven and detail-oriented Machine Learning Engineer
to join our hybrid-working team in London. You'll collaborate with talented engineers and data scientists to build and deploy intelligent systems that transform unstructured data into actionable insight.
You'll be joining a fast-growing AI company developing automation solutions that extract meaning from emails, documents, and other unstructured communications — turning them into structured data and insights that drive real business decisions. Our technology powers next-generation AI workflows for enterprise clients across sectors like finance and professional services.
This is an exciting opportunity for a recent graduate or early-career professional with up to one year of experience who's passionate about machine learning, generative AI, and applying cutting-edge research to real-world challenges.
In this role, you'll:
Design, train, and evaluate
machine learning and deep learning models
for production environments
Develop and optimise
end-to-end ML pipelines
— from data preparation to model deployment
Experiment with advanced
generative and predictive models
, including diffusion, autoregressive, and transformer-based architectures
Collaborate with data engineers and software developers to integrate AI solutions into scalable systems
Contribute to research and experimentation around
model performance, optimisation, and privacy-aware learning
What's in it for you?
Career Growth
– Build hands-on experience in cutting-edge AI while developing your technical expertise through mentorship and ongoing learning
Impactful Work
– Contribute to real-world projects where your models and insights directly shape intelligent products
Collaborative Environment
– Join a supportive, curious, and innovative team that values experimentation and creative problem-solving
Hybrid Flexibility
– Balance remote focus time with in-person collaboration at our London office
Learning Pathway
– Gain exposure to advanced ML frameworks and progress toward senior engineering roles as you grow
What We're Looking For:
A degree in
Artificial Intelligence, Computer Science, Mathematics, or a related field
Proficiency in
Python
and experience with frameworks such as
PyTorch
,
NumPy
, or
Scikit-learn
Understanding of
machine learning algorithms, optimisation, and model evaluation
Strong mathematical reasoning and analytical problem-solving skills
Excellent communication skills and a genuine passion for learning and innovation
Nice to Have:
Experience with
JAX
,
Hydra
, or
Weights & Biases
Exposure to
GANs
,
diffusion models
, or
autoregressive architectures
Knowledge of
data privacy
,
machine unlearning
, or
secure ML methods
Internship or academic project experience in
AI research
,
data science
, or
software development
If you're ready to take your first step into applied machine learning and work on projects that push the boundaries of AI innovation — we'd love to hear from you.
Apply now and be part of shaping the future of intelligent automation
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