Job Title: Machine Learning Engineer
Company: Stealth Mode Startup
Location: London – office based
Salary: £100-£300k plus equity
About Us:
My client are an innovative AI startup on a mission to transform how businesses harness the power of artificial intelligence and are in need of a Machine Learning Engineer. Their goal is to build advanced machine learning solutions that drive smarter decision-making, automation, and new opportunities. As part of their core team, you will be at the forefront of AI technology, helping shape a product that will make a real impact on the industry.
Job Description:
I am seeking a highly skilled and motivated Machine Learning Engineer with a strong focus on developing and optimising training pipelines. This is a unique opportunity to join an early-stage AI company, where your expertise will directly shape the direction and success of our products. As a founding engineer, you'll collaborate closely with our leadership team to design, build, and deploy machine learning models and systems that solve real-world problems, with a particular emphasis on creating efficient, scalable training pipelines.
Machine Learning Engineer Responsibilities:
Collaborate with cross-functional teams to define and prioritise machine learning projects.
Design, implement, and optimise machine learning models, with a strong focus on building robust and scalable training pipelines.
Develop data preprocessing workflows, feature engineering methods, and model training processes.
Implement automation in model training, validation, and deployment processes to enhance efficiency.
Conduct experiments to evaluate model performance and iterate based on findings.
Stay current with the latest advancements in machine learning, particularly in areas related to training optimisation and efficiency.
Mentor and guide junior engineers, promoting a culture of continuous learning and technical excellence.
Contribute to the strategic planning and growth of the company by providing technical insights and recommendations.
Machine Learning Engineer Requirements:
Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, or a related field.
Proven experience in developing and deploying machine learning models with a focus on training pipeline design and optimisation.
Strong programming skills in Python and proficiency with machine learning libraries such as TensorFlow, PyTorch, or similar.
Experience with data preprocessing, feature engineering, and model evaluation techniques.
Proficiency in designing and managing data pipelines and training workflows.
Familiarity with cloud platforms (AWS, GCP, Azure) and containerisation technologies (Docker, Kubernetes).
Excellent problem-solving skills and the ability to work independently in a fast-paced startup environment.
Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.Preferred Qualifications:
Ph.D. in a relevant field or equivalent industry experience.
Experience with large-scale model training, distributed computing, or model optimisation techniques.
Prior experience working in a startup or early-stage company.
Contributions to open-source machine learning projects or publications in top-tier conferences.What We Offer:
Competitive salary and equity compensation.
Opportunity to work on cutting-edge AI technologies and make a meaningful impact.
Collaborative and inclusive company culture.
Professional growth and development opportunities.
How to Apply:
If you're excited about shaping the future of AI and meet the qualifications above, please send your CV to (url removed)
Eligo Recruitment is acting as an Employment Business in relation to this vacancy. Eligo is proud to be an equal opportunity employer dedicated to fostering diversity and creating an inclusive and equitable environment for employees and applicants. We actively celebrate and embrace differences, including but not limited to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran status, and disability. We encourage applications from individuals of all backgrounds and experiences and all will be considered for employment without discrimination. At Eligo Recruitment diversity, equity and inclusion is integral to achieving our mission to ensure every workplace reflects the richness of human diversity
