13 open jobs on The Stack list Model Evaluation as a key skill. They come from 9 companies in 4 countries, and 13 offer visa sponsorship. All were posted in the last 60 days.
This page lists jobs whose listing names Model Evaluation in its key skills. We do not guess skills from the job title.
What you'll do: Own the UK SanTalk product vision, roadmap, delivery, rollout, and ongoing improvement for customer-facing AI across contact centres, chat, and digitally assisted channels. Lead multidisciplinary teams and collaborate with UK and Group…
What they ask for: Requires 6–8 years of experience in data science, applied AI, or advanced analytics, including leading complex AI solutions from concept to production, and an undergraduate degree in a relevant field or equivalent experience. Candidates…
What you'll do: Own focused machine learning projects end to end, from framing customer problems and selecting build-versus-buy approaches to shipping features in production. Evaluate and monitor performance, investigate failures, gather user feedback…
What they ask for: Requires at least two years of hands-on experience building and shipping machine-learning products, with strong experience in PyTorch or an equivalent framework such as TensorFlow or JAX. Candidates should be able to fine-tune vision or…
What you'll do: Own and evolve the AI platform, gateway, and agentic capabilities, enabling product teams to build and ship AI features with minimal engineering effort. Prioritize platform work across teams, turn model capabilities into reusable products…
What they ask for: Requires 10+ years of product management experience, a track record of successful product launches, and experience building platform, infrastructure, or developer-facing products. Candidates should have shipped agentic or model-backed…
What you'll do: You will work with subject matter experts to clean, analyze, and model datasets to provide practical solutions for clients. Additionally, you will contribute to prototypes and communicate findings through charts and presentations.
What they ask for: Candidates should have hands-on experience in data science through projects or internships and proficiency in Python. A relevant degree in a quantitative or social science field is required, along with strong communication skills.
What you'll do: You will work with subject matter experts to clean, explore, and analyze datasets while building statistical or machine learning models. Additionally, you will contribute to prototypes and communicate findings through charts and…
What they ask for: Candidates should have hands-on experience in data science through projects or internships and proficiency in Python. A relevant degree in a quantitative or social science field is required, along with a strong grounding in statistics and…
What you'll do: Prepare, clean, combine, and explore datasets; develop and compare statistical or machine learning models; and contribute to prototypes, including language-model applications where appropriate. Evaluate results and limitations, document…
What they ask for: Applicants should have hands-on data science experience through work, research, an internship, or substantial projects, along with Python experience and a grounding in statistics and common machine learning methods. A relevant degree or…
What you'll do: Train, debug, evaluate, and improve computer vision and 3D perception models for ADAS, covering capabilities such as object detection, classification, and instance segmentation. Build scalable data pipelines and use offline perception…
What they ask for: Applicants should have experience building and shipping computer-vision-focused deep learning systems, with strong applied machine learning engineering skills. They should be familiar with 3D perception concepts or pipelines and be…
What you'll do: You will collaborate with subject matter experts to clean and analyze datasets, build statistical or machine learning models, and develop prototypes. Additionally, you will communicate findings through charts and presentations to support…
What they ask for: Candidates should have hands-on experience in data science through projects or employment, including proficiency in Python and a grounding in statistics and machine learning. A relevant degree in a quantitative or social science field is…
What you'll do: The Senior Data Scientist will act as the UK Product Owner for SanTalk, setting the product vision, strategy, and roadmap for AI solutions across contact centers and digital channels. They will lead multidisciplinary teams to deliver, roll…
What they ask for: Candidates must have 6-8 years of experience in data science or applied AI, with a proven track record of leading complex AI solutions from concept to production. An undergraduate degree in a relevant field such as Computer Science, Data…
What you'll do: You will own the machine-learning models in production that detect AI-enabled threats and analyze their performance for customers. You will also design low-latency models and collaborate with security engineers to translate new attack…
What they ask for: Candidates must have 5+ years of experience in applied machine learning or data science with models shipped to production. Proficiency in Python, PyTorch, and hands-on experience with NLP and LLM techniques is required.
What you'll do: You will build end-to-end data and model pipelines, including sourcing, training, and validating datasets for production. Additionally, you will optimize model performance through compression, distributed training, and reinforcement…
What they ask for: Candidates must hold a Bachelor's degree in a technical field and possess up to 2 years of hands-on experience. Strong programming skills in Python, familiarity with modern ML stacks, and experience with containerized workflows are…
What you'll do: Build a scalable, declarative ML lifecycle platform for financial crime detection, including training pipelines, model packaging and serving, evaluation, monitoring, and audit trails. Integrate FinCrime-specific tooling with Wise’s central…
What they ask for: Candidates need production experience building ML platform infrastructure and strong software engineering skills, including Python, Kotlin or Java, and SQL. They should understand the end-to-end ML lifecycle and have experience with…
What you'll do: Lead the technical direction and architecture for agentic shopping experiences, including multi-turn conversational agents. Establish evaluation, observability, and safety feedback loops while mentoring engineering teams to build…
What they ask for: Requires a proven track record of taking complex conversational AI systems from design to high-scale production. Candidates must have hands-on expertise in training LLMs, building RAG systems, and leading technical direction.
