Senior Machine Learning Engineer in UK

Senior Machine Learning Engineer

UK Remote (No sponsorship, need to be based in the UK or Portugal)

Salary £80,000-100,000

My AI Path are partnered with a household name in the travel, industry to build a world class Machine Learning division! You will work with highly talented ML & AI engineers to build cutting edge AI products which delight millions of customers globally!

The role:

• Lead the design, development, and deployment of machine learning models and systems in production.
• Develop advanced techniques in natural language understanding (NLU), statistical NLP, language modelling, transfer learning, in-context learning (zero-shot, few-shot, etc.), recommender systems, learning-to-rank models, statistical inference and deep learning.
• Collaborate with cross-functional teams to identify opportunities and develop solutions to complex problems.
• Stay current with the latest advancements in machine learning and apply them to improve existing systems and processes.
• Mentor junior team members and provide technical guidance and expertise.
• Drive innovation and contribute to the overall growth and success of the machine learning team.
• Design A/B tests and analyse their results.

Your background:

• You are an experienced machine learning engineer with a strong background in developing and deploying production-grade models.
• You have a proven track record of leading projects from conception to completion, delivering high-quality results on time and within budget.
• You thrive in a fast-paced environment and are able to adapt quickly to changing priorities and requirements.
• You are a proactive problem-solver with excellent communication and collaboration skills.
• You are passionate about machine learning and are committed to continuous learning and professional development.

Your career experience:

• PhD. or Masters degree in Computer Science, Engineering, Mathematics, or a related field; advanced degree preferred.
• 5+ years of experience in machine learning engineering or a related field.
• Proficiency in Python and experience with machine learning libraries such as PyTorch/TensorFlow/Jax, spaCy, NLTK, Hugging Face Transformers, etc.
• Strong understanding of machine learning algorithms and techniques, including deep learning, reinforcement learning, and natural language processing.
• Solid foundation of data structures and algorithms.
• Experience following Software Engineering best practices including source control, code reviews, CI/CD, and automated testing.
• Ability to write efficient and maintainable SQL queries.
• Experience deploying machine learning models in production environments using cloud platforms such as AWS or GCP, using Docker and Kubernetes.
• Experience with distributed computing: Snowflake, Apache Spark, Ray.
• Experience building data pipelines with tools such as Kubeflow, Argo, and Jenkins.
• Experience with model tracking and deployment tools such as MLFlow, Seldon, and Sagemaker.
• Excellent problem-solving skills and attention to detail.
• Strong communication and interpersonal skills, with the ability to work effectively in a collaborative team environment.
• Experience solving problems in some of the following areas: natural language processing (NLU, NER, word embeddings, LSTM), transfer learning, in-context learning (zero-shot, few-shot etc.), information retrieval, knowledge graphs, and statistical modeling

Apply now for immediate CV review