25 open jobs on The Stack list MLOps as a key skill. They come from 13 companies in 11 countries, and 25 offer visa sponsorship. All were posted in the last 60 days.
This page lists jobs whose listing names MLOps in its key skills. We do not guess skills from the job title.
What you'll do: Design, develop, and deploy AI and data science solutions across multiple client engagements, leveraging Generative AI, RAG, and semantic search. Collaborate with data engineers, architects, and stakeholders to operationalize AI solutions…
What they ask for: Strong proficiency in Python and modern data science libraries (Pandas, NumPy, scikit-learn, PyTorch, TensorFlow) and hands-on experience delivering AI/ML in enterprise environments. Experience with Generative AI technologies, LLMs, and…
What you'll do: Build, deploy, and maintain AI/ML solutions for client projects; design data pipelines and MLOps, and collaborate with clients and internal teams to translate requirements into scalable components; ensure governance, monitoring, and…
What they ask for: Proficiency in Python and C#, hands-on experience with cloud AI services (Azure ML, AWS SageMaker, GCP Vertex AI), and ML libraries (scikit-learn, TensorFlow, PyTorch). Knowledge of model evaluation, production deployment, and securing…
What you'll do: Design, develop, and deploy cutting-edge AI solutions with a heavy focus on LLMs and Generative AI; scale and optimize training and inference pipelines and bridge research prototypes to production-ready ML systems. Collaborate with data…
What they ask for: Master's or PhD in a quantitative field with 5+ years of professional Python software development experience and proven production deployment of deep learning models. Strong expertise in PyTorch or TensorFlow, Transformer architectures…
What you'll do: Design, build, and deploy machine learning models to detect fraud and assess risk in financial services. Transform ambiguous business problems into measurable ML solutions and partner with Product, Engineering, and Operations to…
What they ask for: Minimum 5+ years of experience in Data Science, ML, Software Engineering, or related fields. Strong Python skills and experience with large-scale datasets, plus a track record of developing and deploying ML models in production. Ability to…
What you'll do: Lead engineering squads delivering complex AI-driven systems, shaping architecture and delivery strategy, and guiding Proofs of Concepts. Stay hands-on with engineering about 60% of time, building POCs, solving difficult problems, and…
What they ask for: Strong experience in software engineering, technical delivery, or technical leadership; track record deploying ML systems to production (serving, monitoring, retraining); experience mentoring teams; hands-on with PyTorch; familiarity with…
What you'll do: Translate scientific strategies from research teams into robust, scalable software components and optimize compute-intensive code for cloud infrastructure. You will also co-lead the architecture of the scientific computing stack and…
What they ask for: Requires an MSc or PhD in computer science, applied mathematics, or a related quantitative field with a background in computational chemistry or molecular simulation. Candidates must have 5+ years of software engineering experience, strong…
What you'll do: Design, develop, and deploy scalable, production-ready Generative AI solutions using LLMs and modern AI technologies. Collaborate with cross-functional teams to translate business challenges into practical AI applications while…
What they ask for: Requires at least 4 years of experience in Data Science or AI engineering with strong Python programming skills. Candidates must have hands-on experience with LLMs, cloud platforms, and the full AI development lifecycle.
What you'll do: Lead the development and deployment of machine learning models to improve product performance and risk management. Collaborate with cross-functional teams to translate business requirements into scalable data science solutions.
What they ask for: Requires a proven track record of deploying models from scratch and solid knowledge of Python and data processing technologies. Candidates should have experience with large datasets and the ability to collaborate effectively with…
What you'll do: Lead the development and deployment of machine learning models to improve product performance and risk management. Collaborate with cross-functional teams to translate business requirements into scalable data science solutions.
What they ask for: Requires a proven track record of deploying models from scratch and solid knowledge of Python. Candidates should have experience with large datasets and the ability to collaborate effectively with engineering and risk teams.
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: Design, develop, and deploy scalable AI applications and services using Python and Microsoft Azure. Collaborate with cross-functional teams to integrate AI/ML and LLM-powered solutions into enterprise environments.
What they ask for: Requires 5+ years of professional experience in software or AI engineering with strong Python programming skills. Candidates must have hands-on experience with Microsoft Azure, cloud-native development, and Generative AI technologies.
What you'll do: You will define the long-term vision and execution strategy for the core Machine Learning platform to support critical banking operations. This involves leading multi-squad initiatives to scale MLOps infrastructure and ensuring models meet…
What they ask for: The role requires 7+ years of product management experience with at least 4 years focused on building and scaling ML platforms or data infrastructure. Candidates must possess deep technical literacy in MLOps, predictive methodologies, and…
What you'll do: Define and execute the multi-year roadmap for the central Machine Learning platform to support high-volume banking operations. Lead cross-functional teams to scale MLOps infrastructure while ensuring compliance with financial governance…
What they ask for: Requires 7+ years of product management experience with at least 4 years focused on building and scaling machine learning platforms. Candidates must possess deep technical literacy in MLOps, predictive modeling, and experience working in…
What you'll do: Design and build real-time machine learning services for ads monetization and in-game personalization. Manage data pipelines, model deployment, and production monitoring in collaboration with data scientists.
What they ask for: Requires strong experience in Python, SQL, and MLOps for production-grade systems. Candidates must be able to work effectively with data scientists and possess strong communication skills in English and Russian.
What you'll do: You will be responsible for productionizing machine learning models by building and maintaining CI/CD deployment pipelines. Additionally, you will monitor model performance in production and collaborate with data scientists to optimize…
What they ask for: Candidates must have over 3 years of experience in the machine learning field and possess strong Python and SQL skills. Proficiency in English at a B2 level is required, along with experience in cloud platforms and containerization tools.
What you'll do: You will own key parts of the analytical and machine learning lifecycle, from data exploration and feature engineering to developing and supporting production-level models. You will also collaborate with technical and non-technical…
What they ask for: The ideal candidate has 3–5 years of professional experience in data science and a degree in a relevant field like Mathematics or Computer Science. You must possess strong proficiency in Python, machine learning, and SQL, along with the…
What you'll do: You will own the analytical and machine learning lifecycle, from data exploration and feature engineering to developing and supporting production-level models. Additionally, you will collaborate with cross-functional teams to translate…
What they ask for: The ideal candidate has 3–5 years of professional experience in data science and a degree in a quantitative field. You must possess strong proficiency in Python, SQL, and machine learning, along with the ability to communicate technical…
What you'll do: The Mid Data Scientist will own the analytical and machine learning lifecycle, from data exploration and feature engineering to model development and production support. They will collaborate with cross-functional teams to translate…
What they ask for: Candidates must have 3–5 years of professional experience in data science and a degree in a relevant field like Mathematics or Computer Science. Strong proficiency in Python, SQL, and machine learning frameworks is required, along with the…
What you'll do: You will own the analytical and machine learning lifecycle, from data exploration and feature engineering to developing and supporting production-level models. Additionally, you will collaborate with technical and non-technical…
What they ask for: The ideal candidate has 3–5 years of professional experience in data science and a degree in a relevant field like Mathematics or Computer Science. You must possess strong proficiency in Python, SQL, and machine learning, along with the…
What you'll do: You will own the analytical and machine learning lifecycle, from data exploration and feature engineering to developing and deploying production-level models. Additionally, you will collaborate with cross-functional teams to translate…
What they ask for: The ideal candidate has 3–5 years of professional experience in data science and strong proficiency in Python, machine learning, and statistical methods. A degree in Mathematics, Computer Science, or a related field is required, along with…
What you'll do: You will own the analytical and machine learning lifecycle, from data exploration and feature engineering to developing and supporting production-level models. Additionally, you will collaborate with technical and non-technical…
What they ask for: The ideal candidate has 3–5 years of professional experience in data science and a degree in a quantitative field. You must possess strong proficiency in Python, machine learning, and statistical methods, along with experience in deploying…
What you'll do: You will own the analytical and machine learning lifecycle, from data exploration and feature engineering to developing and supporting production-level models. Additionally, you will collaborate with cross-functional teams to translate…
What they ask for: The ideal candidate has 3–5 years of professional experience in data science and a degree in a quantitative field. You must possess strong proficiency in Python, machine learning, and SQL, along with the ability to communicate technical…
What you'll do: You will own the analytical and machine learning lifecycle, from data exploration and feature engineering to developing and supporting production-level models. Additionally, you will collaborate with cross-functional teams to translate…
What they ask for: The ideal candidate has 3–5 years of professional experience in data science and a degree in a quantitative field. You must possess strong proficiency in Python, SQL, and machine learning, along with the ability to communicate technical…
What you'll do: You will own the analytical and machine learning lifecycle, from data exploration and feature engineering to developing and deploying production-level models. Additionally, you will collaborate with cross-functional teams to translate…
What they ask for: The ideal candidate has 3–5 years of professional experience in data science and a degree in a quantitative field. You must possess strong proficiency in Python, SQL, and machine learning frameworks, along with the ability to communicate…
What you'll do: You will own the analytical and machine learning lifecycle, from data exploration and feature engineering to developing and supporting production-level models. Additionally, you will collaborate with cross-functional teams to translate…
What they ask for: The ideal candidate has 3–5 years of professional experience in data science and a degree in a quantitative field. You must possess strong proficiency in Python, SQL, and machine learning, along with the ability to communicate technical…
