Browse Data & ML Jobs
Search 602 curated tech job listings scraped in real-time from LinkedIn, Glassdoor, RemoteOK, and more. Filter by role, location, seniority, and source to find your next opportunity.
602 jobs found for "Training"
Page 1 of 31
Senior Software Engineer, ML Model Training UI - Weights & Biases
…love from Weights & Biases, we’re setting a new standard for how AI is built, trained, and scaled. The integration of our teams and technologies is accelerating our shared mission: to empower … boundaries of what AI can do. From experiment tracking and model optimization to high-performance training clusters, agent building, and inference at scale, we’re combining forces to serve the full…
AI Solution Engineer
…aerospace and defense. AI Solution Engineer Be at the forefront of transforming British Army training. About us: At OMNIA® Training, we’ve brought together some of the UK’s most innovative defence … training organisations under one powerful mission: to transform the British Army’s training system and create the best-trained Army in the world. OMNIA are redefining the British Army’s collective training…
Machine Learning Engineer (All Levels)
…LLM/agentic systems. We are now hiring across a broad range of ML skills, including model training, evaluation, optimisation, infrastructure and deployment. As an ML Engineer at Rowden, you will contribute … broad, spanning edge and embedded deployment, model evaluation, performance optimisation, data pipelines, large-scale training and ML infrastructure all focused on bringing useful AI capability to edge and embedded environments…
Research Scientist - Robot Learning (VLA / WAM)
…generate and interact with physically-grounded 3D environments. We're seeking a Research Scientist to train the policies that turn a world model into a robot that acts. You will own vision … world-action models (WAM) end to end, starting, including data, backbone, action representation, training runs, and the evaluation that tells us whether a policy is genuinely competent or merely lucky. A world…
Member of Technical Staff - Image / Video Generation
…excellence, open science, and building technology that expands human creativity. Why This Role You'll train large-scale diffusion models for image and video generation, exploring new approaches while maintaining the rigor … clarify which architectural choices matter and which are less impactful. What You’ll Work On Trains large-scale diffusion transformer models for image and video data, working at the scale where intuitions…
Engineering Manager, Ads ML Efficiency New
…About the Role Reddit is building a dedicated Ads ML Efficiency function to make model training and inference materially faster, cheaper, safer, and more scalable. As the Engineering Manager for this team … will lead a group focused on model optimization, training efficiency, GPU enablement, load testing, model performance tooling, and efficiency guardrails across Ads ML. This role sits at the intersection of ML modeling…
AI Engineer
…enabling people across the firm to use AI tools confidently, effectively and responsibly. It combines training delivery, content creation, tool evaluation, hands-on support, and close engagement with teams to embed … with the AI Lab to address them. Track recurring issues and feedback themes to inform training, documentation and product improvements. Give input into the overall AI adoption plan. Act as first-line…
Lead Engineer, Machine Learning New
…model capabilities into reliable, scalable production systems. You will work across the model lifecycle: data, training, evaluation, inference, and deployment. This is a hands-on leadership role for someone who wants … systems powering our company, from data and training to evaluation, inference, and deployment. Build and evolve training and fine-tuning pipelines for large models. Design evaluation systems that measure capability, robustness, safety…
AI Software Engineer (Front End)
…About The Role Maincode is training the next version of Matilda, the first large language model built and trained from scratch in Australia. We are now scaling the model and deploying … build AI systems from first principles. We design the architectures, run the infrastructure, shape the training process, and operate the systems that serve our models. Matilda is a production system…
Senior Machine Learning Research Engineer
…responsibilities include implementing and optimising large neural network models; building robust infrastructure for distributed training, evaluation, and inference; and partnering with ML Scientists to take research from prototype to production-grade systems … optimise large models, partnering with ML Scientists to translate research ideas into reproducible, scalable training pipelines. Profile and optimise training across compute, memory, and I/O, pursuing measurable gains in throughput, convergence…
AI Operations Engineer
…Finance, Legal, and beyond) and engineering — building integrations, maintaining agents, supporting cost visibility, and helping train the org on AI best practices. This is a hands-on execution role: you will move … People, Finance, Legal, Engineering, and beyond) Improved AI fluency and literacy org-wide, measured through training participation, adoption of approved tools, and reduced shadow-AI usage Established identity, access, audit, and lifecycle…
AI/ML Engineer
…from experimentation through production. The work sits at the intersection of applied machine learning, model training and evaluation, AI platform engineering, and operational AI deployment. You will need to be comfortable operating … across that full span: writing training pipelines one day, integrating a model into a containerized deployment the next, and briefing a technical stakeholder on evaluation results the day after that. What…
Forward Deployed Engineer
…insights from large volumes of images at scale. Architect and run AI workloads for both training and inference on cloud platforms such as AWS, Azure, or GCP, optimizing for cost, scalability … performance. Develop automation and tooling using Python for data preprocessing, model training, deployment, and monitoring. Collaborate with cross functional teams to translate complex business problems into machine learning solutions that guide prediction…
Senior Machine Learning Engineer, GenAI Security
…This role owns the full machine learning lifecycle: problem definition, data ETL, feature engineering, model training, model evaluation, deployment, experimentation, prediction, monitoring, debugging, and retraining. What You’ll Do Build and improve … define the security problem, assemble and label datasets, build ETL pipelines, engineer features, train models, evaluate quality, deploy to production, monitor performance, and retrain from production feedback. Use modern deep learning architectures…
Principal Analyst (MMM)
…oversee other analysts. You will also be expected support the development of analysts through the Training Academy, Knowledge Shares and feedback. Principal Analysts should develop relationships with their counterparts client side … reasons for success are shared amongst the team. Take responsibility for supervising, supporting and training junior team members. Take responsibility for training new joiners including project managing Graduate Analysts during their training…
Robotics ML and Data Intern
…robotics startup. Your Responsibilities Data Labeling & Annotation Perform data labeling and annotation activities for training and evaluating machine learning models. Help maintain and improve annotation quality standards and guidelines. Work with various … from robotic systems. Data Analysis & Preparation Assist with data analysis, cleaning, and preparation for model training and evaluation. Help build and maintain data pipelines and tooling to streamline data workflows. Generate reports…
Senior Data Scientist/ML Engineer - Financial Crime
…will work across the full model lifecycle: understanding financial-crime typologies, exploring data, engineering features, training and validating models, deploying them at scale, and monitoring their performance over time. This role … Build ML systems that work in production Own and evolve end-to-end batch training pipelines for transaction-monitoring models. Build reliable software around the model lifecycle, including testing, CI/CD, versioning, deployment…
Senior Data Scientist/ML Engineer - Financial Crime
…will work across the full model lifecycle: understanding financial-crime typologies, exploring data, engineering features, training and validating models, deploying them at scale, and monitoring their performance over time. This role … Build ML systems that work in production Own and evolve end-to-end batch training pipelines for transaction-monitoring models. Build reliable software around the model lifecycle, including testing, CI/CD, versioning, deployment…
Principal Innovation Business Analyst New
…functional stakeholders to ensure solutions are aligned with business needs and supported by effective documentation, training, governance, and change management practices. This role will also support the development and deployment … that help teams effectively leverage emerging technologies Main Duties and Responsibilities: Ensures system adoption through training, communication, hands-on demonstrations and stakeholder engagement. Escalates concerns to leadership when additional intervention is required…
Computational Photonics Engineer New
…physical computing medium. Your job is to model how light computes inside it and to train the models that read the answer out. You will work closely with the Integrated Photonics Lead … bridge between physics and learning, modelling how light computes inside our photonic core, and training the models that read the answer out. As we scale, this role can grow into ownership…