K&K Social Resources & Development GmbHis an international recruiting agency that has been providing technical resources in theEuropean region since 1993. This position is with one of our clients in theUnited Kingdomwho is actively hiring candidates to expand their teams.

Title: Intermediate Machine Learning Engineer

Employment- Fulltime Permanent

Location: London, UK

Must Have Skills

• Professional experience in the field of ML/AI.
• Highly proficient in Python, ML python packages like pytorch, huggingface and scitkit-learn, NLP, Kubernetes.
• Solid understanding of classical ML algorithms.
• Superior ability to cleanse/prepare datasets for training and performance tracking.
• Good understanding of statistical concepts, particularly in the context of A/B testing.
• Familiarity with fundamental concepts of deep learning and transformer-based architectures.
• A passion for LLMs and the growing ecosystem around them (e.g. Langchain), and hands-on experience with using them in production.
• Strong programming and algorithmic skills.
• Experience working with big data technologies.
• Self-directed, able to contribute and see ahead of the current development timeline.
• English working proficiency and communication skills (verbal and written).

Responsibilities

• You’ll be the founding member of our ML/AI team, and focus on bringing this next generation of AI-powered features.
• You will combine your AI expertise and product expertise improve on our existing legal recommendation system and create new products. Always in constant search for better understanding of our customers’ needs.
• You'll use state of the art LLMs and prompting techniques to create features, train models in-house where appropriate, and stay up to date with changes in the field.
• Working closely with operations teams to validate that your ideas will bring value, implementing them in collaboration with front and backend engineers, and creating systems to monitor their ongoing performance.
• To conduct exploratory data analysis on customer data and industry trends.
• Develop ML/Deep learning algorithms.
• Analyse the performance of models and facilitate continuous improvement.
• End-to-end ownership of ML problems.
• Significant decision making power on the technologies and architecture that we use to build the platform.

Benefits

• Experience in systems design with the ability to architect and explain machine learning pipelines
• Data visualisation skills
• Startup experience as an early employee or founder.

Note: Applicants for employment in theUnited Kingdom should possess work authorization which does not require sponsorship by the employer for a visa.