Senior Machine Learning Engineer
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+5 more
Job description
As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced Machine Learning Engineer to join our high-impact data science team. This role offers the opportunity to work across trading, operations, and support functions-delivering production-grade machine learning systems that solve real business problems.
You’ll collaborate with data scientists, software engineers, and commercial stakeholders to design, build, and deploy models that drive decision-making and innovation. From project scoping to model deployment, you’ll have visibility and influence across the full ML lifecycle.
? Core Responsibilities
- Act as a thought partner to commercial teams, identifying high-value opportunities for AI/ML applications
- Lead the design, development, and deployment of machine learning systems, with a focus on NLP, LLMs, and Generative AI
- Prioritize projects based on business impact and evolving market conditions
- Collaborate with cross-functional teams to gather requirements and align solutions with strategic goals
- Integrate ML solutions-including GenAI-into existing platforms to ensure seamless user experiences and scalable adoption
- Participate in code reviews, experiment design, and tooling decisions to maintain high engineering standards
- Share knowledge and mentor colleagues to build machine learning fluency across the organization
Requirements
Master’s degree in Computer Science, Data Science, Machine Learning, or related field (Ph.D. preferred)
5-7+ years of experience developing and deploying ML models in production environments
Deep expertise in Python, with clean, modular, well-documented coding practices
Proven experience applying LLMs to solve business problems, with strong understanding of GenAI design patterns
Proficiency with ML frameworks and libraries: TensorFlow, PyTorch, Transformers
Familiarity with AWS and containerization tools like Docker
Strong grasp of ML fundamentals: deep learning, generative models, NLP techniques (sentiment analysis, entity recognition, disambiguation)
Excellent communication skills-able to translate complex technical concepts for non-technical audiences
About the company
Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on dejobs.orgGood distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
How to Become an AI Engineer
Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud
MLOps – What’s the deal behind it?
MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production