101 to 125 of 131 Machine Learning Engineer Jobs

of the things on our roadmap you'll work on include: Optimising efficiency and robustness of Polaron's existing algorithms for material characterisation, exploration and optimisation; Adapting cutting edge machine learning methods for material science applications. We're looking for exceptional people who can contribute to a fantastic company culture and help us grow Polaron, so if you … Enthusiasm for complex problem solving Strong technical communication skills, including the ability to clearly disseminate new ideas and ML concepts to the rest of the team Technologies We Use Machine Learning: Python/PyTorch CI/CD: Github, Github Actions. Frontend/Backend: TypeScript with React/Next.js and Express/Prisma. Infrastructure: Docker, Kubernetes, Terraform (AWS). More ❯

Greetings., We have hiring for Lead Machine Learning Engineer Duration: 8+ Locations: Ft. Belvoir, VA Skills required Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field At least 8 years of experience designing and building data-intensive solutions using More ❯

leverage these complementary strengths to amplify the capabilities of drivers, foster happiness, and elevate well-being. Team At Woven by Toyota, we are at the forefront of developing advanced Machine Learning solutions for autonomous driving. Our team tackles groundbreaking challenges in designing state-of-the-art neural networks, pioneering innovative end-to-end architectures, and advancing ML techniques … in perception, prediction, and motion planning. We're passionate about pushing the boundaries of autonomous systems through deep learning and optimization, particularly in complex 3D geometric computer vision scenarios. We're seeking passionate innovators and creative problem-solvers eager to redefine mobility through cutting-edge AI and robotics, contributing directly to shaping the future of self-driving technology. Woven … experimentation, evaluation, and deployment; Able to navigate ambiguities and address uncertainties arising from complex projects involving multiple teams and legacy codebases; Writes high-quality code while being rigorous with Machine Learning experimentation; Collaborate closely with stakeholders from multiple teams in different time zones to define interfaces and requirements for an end-to-end stack; Experience MS, or higher More ❯

are building the future of decentralized finance-where trading is smarter, faster, and more connected. Join us in shaping the next generation of crypto innovation. The Role As a Machine Learning Engineer, you will play a key role in architecting our real-time mindshare platform that turns noisy social feeds into crystal-clear token insights. Your work … Prometheus, Grafana), including model drift detection. Experience with real-time ML inference and model serving frameworks (e.g., TorchServe, Triton, BentoML) for low-latency applications. Experience designing feedback loops, active learning, or user-in-the-loop systems to continuously improve model relevance. Experience with Git-based workflows and integrating model training into CI/CD pipeline Ideal Candidate Profile A … and drives urgency and efficiency without compromising quality. Nice to Haves Experience fine tuning large scale transformer models (BERT, GPT) and prompt engineering for sentiment tasks Background building active learning and annotation pipelines to bootstrap training data Familiarity with semantic search or vector databases (Elasticsearch, FAISS, Pinecone) for topic modeling and similarity queries Familiarity with crypto markets, order books More ❯

Machine Learning Operations Engineer Department: Vicon Markerless Employment Type: Permanent - Full Time Location: Botley, Oxfordshire Reporting To: Timothy Smith Description Are you interested in working on products at the very cutting edge of technology? Want to join Vicon, an Academy Award-winning company, and the world's largest supplier of precision motion capture and tracking systems? Vicon … and are a crucial measurement tool for biomechanics, robotics, and cutting-edge science. Vicon is a subsidiary of Oxford Metrics Plc. We are looking for an excellent ML Ops Engineer to join our research and development team in Oxford, England. Key Responsibilities This opportunity is to join the ML Operations teams which supports the ML Development team in building More ❯

Technical Support/Graduate IT Enginee r 35-38k, Trainee. SaaS, Cloud, NLP, AI, Machine Learning, Data Sience, Python, MATLAB, Software Development Tools, Technical Support, Client facing, Computer Science, STEM, Mathematics, Physics, Natural Science, Electronic Engineering Graduate, who want to work with awesome Technologies such as, AI, Machine2Machine Learning, Cloud Applications, Unified Communications, Software Solutions IT … going basis. Must have excellent client facing, problem solving skills, and solid attention to detail. Salary 37-38k. (Training in Software Development, AI technologies, IOT, Contact Centre application, Machine Learning, SaaS, Cloud Applications), and more. Very Much of a Customer facing CX ROLE. Our clients take pride in their core beliefs of teamwork, quality and agility. Time … are looking for new members to continue upholding our beliefs and to catalyse further successes as we expand on a global scale. The Role : Technical Supporting/Graduate IT Engineer Technical problem solving Software/Web Development tools, (University or Commercial or Own Project GIT/GitHub Fact finding Maintaining a commitment to keeping customers informed and build and More ❯

AI/ML Engineer – Permanent, Full-Time – Dundee £30-35K Join a mission-driven tech company at the forefront of sustainable innovation. We’re currently working with a pioneering technology company. They’re on a mission to drive responsible and sustainable practices through cutting-edge solutions, and they’re looking to bring on an AI/ML Engineer … digital journey, with the chance to work across the full product lifecycle and contribute to meaningful, ethical innovation. What You’ll Be Doing Designing, developing, and deploying high-performing machine learning models for computer vision tasks (image classification, object detection, segmentation, video analysis). Conducting data analysis, feature engineering, and model optimisation to ensure top-tier performance. Collaborating … and continuous learning. What We’re Looking For Master’s or PhD in Computer Science, Engineering, or a related field with a strong ML focus. Solid understanding of deep learning architectures (CNNs, RNNs, Transformers). Proficiency in Python and ML libraries like TensorFlow, PyTorch, and scikit-learn. Strong experience with AWS services and cloud-native development. A proactive, collaborative More ❯

Overview Work within our clients machine learning team to deploy and optimize models for applications like low-latency speech recognition and large language models (LLMs). Initial focus will be on improving our clients speech recognition model's training pipeline on multi-GPU systems to boost performance and quality. Responsibilities: Train and deploy state-of-the-art ML More ❯

JOB AD: OverviewWork within our clients machine learning team to deploy and optimize models for applications like low-latency speech recognition and large language models (LLMs). Initial focus will be on improving our clients speech recognition model's training pipeline on multi-GPU systems to boost performance and quality. Responsibilities: Train and deploy state-of-the-art More ❯

Job Overview: The mission of the Central Technology ML (CTML) team is to pioneer and implement the technology roadmap that paves the way for the future of machine learning computing on Arm architecture. We believe that innovative ML technology necessitates joint development across hardware, software, and ML algorithms. We will collaborate on what is the best way to … balance among all these constrains? As a member of the CTML Content and Algorithm team, the candidate will play a key role within the Center of Excellence for Machine Learning. They will actively contribute to this joint development initiative, conducting in-depth analyses of complex neural networks on ARM's computing platforms and devising algorithms that will elevate us … in computer architecture, basic knowledge of HW and SW design Developing and working with large software systems in programming languages like Python Knowledge of state-of-the-art deep learning libraries such as Tensorflow and Pytorch Training large deep learning models on powerful GPU-based systems, "Nice To Have" Skills and Experience: ML Model Optimization techniques targeted for More ❯

game differently. Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more. Ready to join us? Our Applied Machine Learning (AML) team's vision is to extract valuable insights from video and deliver them to coaches, athletes and fans at the perfect moment. We build new experiences … and power automation across Hudl, using cutting-edge computer vision and deep learning technologies, deployed both in the cloud and on our Focus cameras at the edge. As a Staff Engineer, you'll provide technical leadership for Engineers across the AML squads to deliver AI/ML solutions at scale, shaping the future of sports technology. The priorities … deployment and monitoring. You also have extensive experience in several of the following areas: GPU acceleration; inference at scale on both edge devices and cloud; real-time systems; active-learning; and MLOps. Communication skills. You can easily and clearly express yourself verbally and in a written format. You're able to convey complex technical concepts and trade-offs to More ❯

chance to make a significant contribution to projects that push the boundaries of what's possible in computer vision - while enjoying a highly competitive package. As a Computer Vision Engineer, you will play a central role in developing and deploying systems that achieve state-of-the-art accuracy in detection, segmentation, and tracking. You will be working in an … environment that values technical depth, rigorous research, and practical application of cutting-edge ideas. Key responsibilities include: Designing and optimising deep learning models for real-world performance. Building robust computer vision pipelines for detection, segmentation, and tracking. Combining classical computer vision methods (OpenCV, feature extraction, motion tracking) with modern CNN architectures. Experimenting with advanced detection and segmentation heads to … science techniques to evaluate and refine models. Contributing to a collaborative research culture, sharing insights and results with peers. Key experience needed: Proven experience in optimising and deploying deep learning models at scale. Expertise in OpenCV and classical computer vision approaches. Strong knowledge of CNN building blocks, training dynamics, and segmentation/detection techniques. Skilled in dataset curation and More ❯

Responsibilities Drive ML engineering strategy and implementation within an ambitious, high-impact, ML research agenda in the molecular sciences. Design, develop, and deploy data processing pipelines, machine learning models, and workflows. Collaborate with internal and external partners to deploy and evaluate models and workflows. Champion and coach the team in modern engineering practices. Prepare technical papers and presentations. … in designing, developing, and deploying scientific ML systems with real-world impact. Experience working with cross-functional teams. Experience with major cloud platforms and/or HPC. Preferred: Deep learning experience. Experience with chemoinformatics and computational chemistry. Experience in real-world drug discovery. Proficiency with additional programming languages. Microsoft is an equal opportunity employer. All qualified applicants will receive More ❯

members, we have the potential and the opportunity to change the way organisations operate. As we continue to grow, we're looking for a highly skilled and experienced Lead Machine Learning (ML) and artificial intelligence (AI) Engineer to drive the development and deployment of our advanced ML and AI learning solutions. In this pivotal role, you … successfully designing, building and deploying ML models into production environments at scale. Expertise in Python and relevant ML libraries. Strong experience with various ML algorithms (e.g., supervised, unsupervised, reinforcement learning) and deep learning frameworks (e.g., TensorFlow, PyTorch). Experience developing generative AI applications and deploying them into production. Experience working with cloud platforms, ideally Google Cloud Platform (GCP More ❯

Fifty 2025 cohort members, we have the potential and the opportunity to change the way organisationsoperate. As we continue to grow,we'relooking for a highly motivated and skilled Machine Learning (ML) and Artificial Intelligence (AI) Engineer to contribute to the development and deployment of our advanced ML and AI solutions. In this hands-on role,you … nature and biodiversity and we take immense pride in our work and our impact. Join us on this journey! About you We're looking for a driven and collaborative engineer who is passionate about using ML and AI to make a tangible impact on helping organisations understand and manage their impact on nature. You should thrive in a dynamic … successfully contributing to the design, building and deployment of ML models into production environments. Expertisein Python and relevant ML libraries Experience with various ML algorithms (e.g. supervised, unsupervised, reinforcement learning) and deep learning frameworks (e.g. TensorFlow,PyTorch). Experience developing generative AI applications and deploying them into production. Experience working with cloud platforms, ideally Google Cloud Platform (GCP More ❯

Founding Engineer | London | AI x Real-World Impact An early-stage (but well-funded) AI startup is on a mission to accelerate real-world innovation — think aerospace, energy, healthcare. Backed by investors from Spotify, Reddit, Flexport, Coinbase etc., they’ve just closed a 10x oversubscribed $4.5M seed round . Now hiring a Founding Engineer : someone who ships fast More ❯

Founding Engineer | London | AI x Real-World Impact An early-stage (but well-funded) AI startup is on a mission to accelerate real-world innovation — think aerospace, energy, healthcare. Backed by investors from Spotify, Reddit, Flexport, Coinbase etc., they’ve just closed a 10x oversubscribed $4.5M seed round . Now hiring a Founding Engineer : someone who ships fast More ❯

more about the Chin lab achievements here: We recently secured $58 million Series A fundraising. Read more here: What we're looking for: We are looking for an ML engineer to turn prototypes into functional systems. You will build and maintain our codebase, scale training pipelines, and align model with in-house data to develop state-of-the-art … ll teach you the rest Collaborative team player with excellent communication skills Desirable skills: Domain experience in computational biology, particularly genomic language models. Publications or open-source contributions in machine learning or bioinformatics. What's in it for you? Why work at Constructive Bio? We are a small but rapidly growing team, with a vision to become the More ❯

Hiring: Snr. Databricks ML Engineer 📍 Remote (UK-based) | 💰 Up to £110,000 We’re working with a cutting-edge AI consultancy who are scaling their ML team with a key hire: a Senior Databricks ML Engineer who’s as comfortable in pre-sales conversations as they are deploying models to production. 🧠 You’ll be someone who: Has deep … be using: Python, SQL, Spark, R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯

Hiring: Snr. Databricks ML Engineer 📍 Remote (UK-based) | 💰 Up to £110,000 We’re working with a cutting-edge AI consultancy who are scaling their ML team with a key hire: a Senior Databricks ML Engineer who’s as comfortable in pre-sales conversations as they are deploying models to production. 🧠 You’ll be someone who: Has deep … be using: Python, SQL, Spark, R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯

in Python: fine-tune state-of-the-art architectures on our in-house GPU cluster. Orchestrate Workflows with Apache Airflow: schedule, monitor, and maintain complex data and model pipelines. Engineer Cloud Services on AWS (Lambda, ECS/EKS, S3, Redshift, etc.) and automate deployments using GitHub Actions & Pulumi. Collaborate & Brainstorm with our engineering team we frequently communicate ideas to More ❯

projects. We're a diverse team of backend engineers, data engineers, and data scientists located around the world, but we work closely together, support each other's growth and learning, and share an enthusiasm for deriving interesting and useful insights out of geospatial data. To see some examples of our work, check out some of our blog posts: Tracking … responds to quarantine Tracking retail recovery using Movement data Using Movement data to analyze airport traffic How location data becomes traffic data What You'll Do As a ML Engineer II, you will be responsible for architecting, building, and maintaining production systems for Mapbox's Traffic or Movement products and ML Engine. Your technical contributions will include: Designing and … care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. We strongly believe in the value of growing a diverse team and encourage More ❯

M.S., or Ph.D. in Computer Science, Robotics, or a related field 7+ years of experience building and deploying large-scale ML systems Deep understanding of foundation models, self-supervised learning, and world models in robotics or simulation Strong software engineering background, with fluency in Python and C++ Experience training and evaluating transformer models or end-to-end autonomous agents … time inference systems and autonomous vehicle constraints Proven leadership in driving ML projects from research to production Bonus: Prior work on end-to-end autonomous driving architectures (e.g., imitation learning, behavior cloning, world models) Experience with sensor fusion (LiDAR, camera, radar) in a learned model Company Statements Equal Opportunity Rivian is an equal opportunity employer and complies with all More ❯

Do you want to leverage your AI/ML skillset in a rapidly growing start-up that’s focused on Gen AI advancements? Do you want the freedom to work with a diverse range of clients and be responsible for More ❯

Do you want to leverage your AI/ML skillset in a rapidly growing start-up that’s focused on Gen AI advancements? Do you want the freedom to work with a diverse range of clients and be responsible for More ❯