401 to 425 of 864 Machine Learning Engineer Jobs

Social network you want to login/join with: Founding Machine Learning Engineer, London Client: Letly Location: London, United Kingdom Job Category: Other EU work permit required: Yes Job Views: 4 Posted: 08.05.2025 Expiry Date: 22.06.2025 Job Description: Company Letly is an AI-Native vertical fintech platform focused on the rental housing market. We are automating rental … building a fintech platform to manage the trillions of dollars spent on rent globally. We recently closed a pre-seed round and are hiring a talented AI/ML engineer with a strong software engineering background and a passion for deploying AI/ML models into real-world, production-grade applications. Apply if: You have strong foundational software engineering … have advanced knowledge of LLM architectures and ML/DL frameworks (e.g., TensorFlow, PyTorch, LangChain, Keras, scikit-learn). You're ready to design, deploy, and maintain production-grade Machine Learning systems. You're willing to champion best practices in code quality, testing, observability, and MLOps. You have experience with MLOps tools and practices (CI/CD, Docker More ❯

Social network you want to login/join with: Machine Learning Engineer with Data Engineering expertise, slough col-narrow-left Client: Tadaweb Location: slough, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: Tadaweb is a pioneering technology company with roots … supporting our clients’ policies. Renowned for our “nothing is impossible” ethos, we prioritize trust, transparency, and innovation in everything we do. About the Role: We are looking for a Machine Learning Engineer with Data Engineering expertise to help scale our platform. In this hybrid role, you’ll design data pipelines, develop ML models, and work across data … s capabilities. If you thrive in a collaborative, fast-moving environment and want to make a real-world impact, we’d love to hear from you! Scope of Work: Machine Learning Engineering • Design, develop, evaluate, and deploy machine learning models for production. • Optimize model performance based on key metrics for scalability, reliability, and real-world impact. More ❯

Machine Learning Operations (ML Ops) Engineer Jooble Northampton, England, United Kingdom Machine Learning Operations (ML Ops) Engineer Jooble Northampton, England, United Kingdom 3 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. PLEASE NOTE: We are promoting this job opportunity as provided by a … employer. In case of your interest in this job opportunity and for more details please click on "Apply" button below, which will take you to the employer's website Machine Learning Operations (MLOps) Engineer The full job description covers all associated skills, previous experience, and any qualifications that applicants are expected to have. Flexible Location – Ipswich, London … champions. We’re enabling a zero carbon, lower cost energy future for all, and working hard to decarbonise the planet for generations to come. About The Role As a Machine Learning Operations (MLOps) Engineer, you’ll be responsible for managing, releasing and monitoring Machine Learning (ML) and Artificial Intelligence (AI) artefacts using automated frameworks. You More ❯

of them. We ask that our team members be physically located in the Central European time zone for the purposes of our collaboration hours. We are looking for a Machine Learning Engineer (MLE II) to join our product area of hardworking engineers that are passionate about connecting new and emerging creators with users via recommendation algorithms. As … Collaborate with a cross functional agile team spanning tech research, data science, product management, and engineering to build new technologies and features Stay up-to-date on the latest machine learning algorithms and techniques Who You Are You have professional experience in applied machine learning Extensive experience working in a product and data-driven environment (Python … Scala, Java, SQL, or C++, with Python experience required) and cloud platforms (GCP or AWS) You have some hands-on experience implementing or prototyping machine learning systems at scale You have experience architecting data pipelines and are self-sufficient in getting the data you need to build and evaluate models, using tools like Dataflow, Apache Beam, or Spark More ❯

that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment. What You Will Contribute To Altos As a Senior Staff Machine Learning Engineer, you will play a prominent role in developing generative AI/ML models for multi-modal, multiscale biology. We are looking for a hands-on … originality, rigor, and integrity. Responsibilities Partner with world-class scientists across Altos to help generate biological insights with the goal of developing novel therapies; Design and implement large-scale machine learning algorithms and systems applied to biological datasets; Train, evaluate, and optimize machine learning models at scale; Communicate effectively with internal and external collaborators to meet … ambitious research and development goals. Who You Are Proven track record leveraging machine learning to solve real-world problems; Expertise in one or more of the following: generative models, language models, computer vision, bayesian inference, causal reasoning & inference, transfer & multi-task learning, diffusion models, graph neural networks, active learning; Experience writing production-quality code with modern More ❯

supporting our clients’ policies. Renowned for our “nothing is impossible” ethos, we prioritize trust, transparency, and innovation in everything we do. About the Role: We are looking for a Machine Learning Engineer with Data Engineering expertise to help scale our platform. In this hybrid role, you’ll design data pipelines, develop ML models, and work across data … s capabilities. If you thrive in a collaborative, fast-moving environment and want to make a real-world impact, we’d love to hear from you! Scope of Work: Machine Learning Engineering • Design, develop, evaluate, and deploy machine learning models for production. • Optimize model performance based on key metrics for scalability, reliability, and real-world impact. … to data pipelines, ML workflows, and system reliability. • Ensure seamless integration of new ML models and data-driven features into production. Your Profile: Experience in both data engineering and machine learning, with a strong portfolio of relevant projects. Proficiency in Python with libraries like TensorFlow, PyTorch, or Scikit-learn for ML, and Pandas, PySpark, or similar for data More ❯

supporting our clients’ policies. Renowned for our “nothing is impossible” ethos, we prioritize trust, transparency, and innovation in everything we do. About the Role: We are looking for a Machine Learning Engineer with Data Engineering expertise to help scale our platform. In this hybrid role, you’ll design data pipelines, develop ML models, and work across data … s capabilities. If you thrive in a collaborative, fast-moving environment and want to make a real-world impact, we’d love to hear from you! Scope of Work: Machine Learning Engineering • Design, develop, evaluate, and deploy machine learning models for production. • Optimize model performance based on key metrics for scalability, reliability, and real-world impact. … to data pipelines, ML workflows, and system reliability. • Ensure seamless integration of new ML models and data-driven features into production. Your Profile: Experience in both data engineering and machine learning, with a strong portfolio of relevant projects. Proficiency in Python with libraries like TensorFlow, PyTorch, or Scikit-learn for ML, and Pandas, PySpark, or similar for data More ❯

supporting our clients’ policies. Renowned for our “nothing is impossible” ethos, we prioritize trust, transparency, and innovation in everything we do. About the Role: We are looking for a Machine Learning Engineer with Data Engineering expertise to help scale our platform. In this hybrid role, you’ll design data pipelines, develop ML models, and work across data … s capabilities. If you thrive in a collaborative, fast-moving environment and want to make a real-world impact, we’d love to hear from you! Scope of Work: Machine Learning Engineering • Design, develop, evaluate, and deploy machine learning models for production. • Optimize model performance based on key metrics for scalability, reliability, and real-world impact. … to data pipelines, ML workflows, and system reliability. • Ensure seamless integration of new ML models and data-driven features into production. Your Profile: Experience in both data engineering and machine learning, with a strong portfolio of relevant projects. Proficiency in Python with libraries like TensorFlow, PyTorch, or Scikit-learn for ML, and Pandas, PySpark, or similar for data More ❯

supporting our clients’ policies. Renowned for our “nothing is impossible” ethos, we prioritize trust, transparency, and innovation in everything we do. About the Role: We are looking for a Machine Learning Engineer with Data Engineering expertise to help scale our platform. In this hybrid role, you’ll design data pipelines, develop ML models, and work across data … s capabilities. If you thrive in a collaborative, fast-moving environment and want to make a real-world impact, we’d love to hear from you! Scope of Work: Machine Learning Engineering • Design, develop, evaluate, and deploy machine learning models for production. • Optimize model performance based on key metrics for scalability, reliability, and real-world impact. … to data pipelines, ML workflows, and system reliability. • Ensure seamless integration of new ML models and data-driven features into production. Your Profile: Experience in both data engineering and machine learning, with a strong portfolio of relevant projects. Proficiency in Python with libraries like TensorFlow, PyTorch, or Scikit-learn for ML, and Pandas, PySpark, or similar for data More ❯

on our journey as we continue to revolutionize the retail sector, providing innovative solutions and services that redefine industry standards. POSITION SUMMARY: We are looking for a highly skilled Machine Learning Vision Engineer to design, develop, and implement AI-driven vision solutions that enhance our products and services in the Retail Theft Prevention domain. The ideal candidate … should have a strong background in machine learning , computer vision and AI pipelines . A key advantage would be the ability to optimize machine learning models for efficient deployment on edge devices , ensuring performance and scalability in real-world environments. Additionally, experience in building data-to-deployment training pipelines in the cloud and on the edge … Various Employee Engagement Events Exciting Growth Opportunities Positive Company Culture ESSENTIAL JOB FUNCTIONS; but not limited to: Design and implement real-time object detection, tracking, and classification solutions using machine learning and computer vision techniques. Optimize models for real-time processing on various platforms, including edge devices, cloud-based systems, and embedded hardware, ensuring low-latency performance. Develop More ❯

Description Join a high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. As an Applied AI/ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the … opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI-powered products … understanding of both mindsets. Job responsibilities Build robust Data Science capabilities which can be scaled across multiple business use cases Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems Research and analyse data sets using a variety of statistical and machine learning techniques Communicate AI capabilities More ❯

Machine Learning Engineer | Omics | RNA | DNA | PyTorch | Hybrid, London While gene-editing is becoming increasingly efficient, identifying which genes to edit and how remains a significant challenge. To overcome this bottleneck, we use cutting-edge deep learning to accurately and efficiently identify high-value genetic targets for gene-editing. Our approach draws inspiration from recent advancements … applicants with specific expertise who feel they could uniquely contribute to the training lifecycle of large, complex models. The ideal applicant will have experience using genomic data in a machine learning context. We are particularly interested in individuals with experience working with foundational generative models of DNA or transcriptomic data. However, our modelling efforts have a strong focus More ❯

of the AI revolution! The Team: Our team plays a pivotal role in enhancing the capabilities and efficiency of our advanced AI systems. We design solutions that enable our machine learning models to scale seamlessly and perform optimally in real-world applications and large scale research. Collaborating across InstaDeep, we directly impact projects in diverse fields including Life … Sciences, Logistics, Chip Design, and Quantum ML. The Role: We seek a highly skilled Machine Learning Engineer with a passion for tackling the challenges of large-scale ML development. You'll play a vital role in making our ambitious AI solutions a practical reality. If you thrive on system-level analysis, find joy in squeezing every ounce … of performance from hardware, and love diving deep into algorithm optimisation, this is the position for you. Responsibilities Scaling Expertise: Design and implement strategies to efficiently scale machine learning models across diverse hardware platforms (GPU/TPU). Performance Optimisation: Analyse and profile ML systems under heavy load, pinpointing bottlenecks, and implementing targeted optimisations. Distributed Systems Architecture: Create More ❯

paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment … sit in our Embodied AI division which consists of modelling, robotics, data and detectives teams working together to deliver an Autonomous Driving product. We are looking for an experienced Machine Learning Engineer to help us in our journey to scale end-to-end neural networks for autonomous driving. You’ll be working across our embodied AI org … team to build, integrate, test and scale algorithms, tools, and machine learning solutions for autonomous driving. Challenges you will own Technical leadership of at least one company wide program Developing and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack. Collaborating with cross-functional teams to contribute to the More ❯

an environment you'd love to work in, even if you only have some of the experience listed below, please apply. The Role We are seeking a mid-level Machine Learning Operations Engineer to join our growing team. In this role, you will focus on unifying data management at Lila by building and maintaining high performance and … robust data pipelines to support a variety of machine learning use-cases. You will work closely with both LLM researchers and Applied AI Engineers to ensure the seamless integration of cutting-edge LLM research with scalable, production-ready systems for life science and physical science automation. Responsibilities: Design and implement high-performance data processing infrastructure for large language … Lila Sciences and write technical documentation for staff Qualifications: 3+ years of experience in software engineering, with a focus in data engineering or DevOps Demonstrated experience deploying and maintaining machine learning models in production Proficiency with Kubernetes, Docker, and Cloud (AWS Preferred) Proficiency with CI/CD tools and Frameworks (GitHub Actions preferred) Strong skills with Scripting languages More ❯

experts. We work across 10 countries to collect, connect, and understand complex data, enabling governments, armed forces, and commercial businesses to unlock digital advantages in demanding environments. Job Title: Machine Learning Engineer Requisition ID: 121659 Location: London – Flexible and hybrid working options available; please consult with your recruiter for details. Grade: GG10-GG11 Referral Bonus … Are you passionate about AI/ML technology? Do you enjoy solving complex challenges as part of a team dedicated to national security? Join BAE Systems as an experienced Machine Learning (ML) Engineer. In our AI team, you will collaborate with National Security Customers to identify how AI/ML solutions can add value. You will lead prototype … data scientists to understand data requirements, clean and organize data, and build scalable capabilities. Conduct AI experiments to validate technical assumptions and assess technology maturity. Develop, test, and deploy machine learning models, demonstrating their transition from prototypes to products, and support other teams developing ML solutions. This is a pivotal time to join our AI growth journey, developing More ❯

Software Development Engineer - Machine Learning Job ID: 2898783 | Amazon Europe Core Sarl - D40 Do you want to solve business challenges through innovative technology? Do you enjoy working on cutting-edge, scalable services technology in a team environment? Do you like working on industry-defining projects that move the needle? At Amazon, we hire the best minds in … Master’s Degree in Computer Science, Computer Engineering, or related fields at time of application • Knowledge of Computer Science fundamentals • Experience with Natural Language Processing, Computer Vision, or Deep Learning PREFERRED QUALIFICATIONS • Previous technical internship(s) if applicable • Experience with distributed, multi-tiered systems, algorithms, and relational databases • Experience such as linear programming and nonlinear optimisation • Ability to effectively … or Python, and ML, AI, Labeling, Annotation, Data Pipeline, Big Data, AWS, or Cloud Services • Experience with Computer Vision: Kernel, Hardware Accelerator, TVM, or Code-gen • Experience with Deep Learning: C++ or Python, and AI, Neural Network, Tensorflow, PyTorch, MxNET, Llvm, Compiler, CPU, CUDA, Nvidia, TensorRT, TPU, Cluster Management, High Performance Computing, or Optimization Amazon is an equal opportunities More ❯

pipeline exceeding $100 million. Our unwavering commitment to innovation has firmly established us as a global industry pioneer. Are you up for the challenge? Position Overview As a Distinguished Engineer at Axelera AI, you will play a pivotal role in shaping the company's AI and machine learning strategy with a long-term, industry-leading perspective. You … driving innovation and calculated risk-taking. Model a standard of excellence, accountability, and leadership that inspires teams and influences company-wide culture and strategy. Qualifications: PhD in Computer Science, Machine Learning, Artificial Intelligence, or related fields. 10+ years of post-PhD experience in AI/ML research and development, with a track record of leading large-scale projects … and driving impactful innovations outside of academia. Deep expertise in AI/ML frameworks, deep learning algorithms, and hardware-optimized machine learning. Strong background in neuromorphic computing, hardware-efficient AI, or computational neuroscience is a plus. Experience managing and mentoring senior engineers, influencing company-wide technical direction, and driving engineering excellence. Exceptional communication skills with the ability to More ❯

We work collaboratively across 10 countries to collect, connect, and understand complex data, enabling governments, armed forces, and commercial businesses to unlock digital advantages in demanding environments. Job Title: Machine Learning Engineer Requisition ID: 121659 Location: London - Flexible hybrid working arrangements available. Please discuss options with your recruiter. Grade: GG10-GG11 Referral Bonus: £5,000 Are you … AI/ML technology? Are you motivated to find innovative solutions to complex challenges as part of a team dedicated to national security? Join BAE Systems as an experienced Machine Learning (ML) Engineer. As part of our AI team, you will work with National Security Customers to understand their challenges and identify where AI/ML solutions can … engage in activities aligned with our AI Strategy, which includes: Customer Focus: Understanding needs and measuring AI value Market Positioning: Establishing our USP Skills Development: Creating career paths and learning plans Partnerships: Building our AI partner ecosystem Innovation: Conducting AI experiments and translating results into products In a small team, you will have ownership and responsibility, with support from More ❯

pipeline exceeding $100 million. Our unwavering commitment to innovation has firmly established us as a global industry pioneer. Are you up for the challenge? Position Overview As a Distinguished Engineer at Axelera AI, you will play a pivotal role in shaping the company’s AI and machine learning strategy with a long-term, industry-leading perspective. You … driving innovation and calculated risk-taking. Model a standard of excellence, accountability, and leadership that inspires teams and influences company-wide culture and strategy. Qualifications: PhD in Computer Science, Machine Learning, Artificial Intelligence, or related fields. 10+ years of post-PhD experience in AI/ML research and development, with a track record of leading large-scale projects … and driving impactful innovations outside of academia. Deep expertise in AI/ML frameworks, deep learning algorithms, and hardware-optimized machine learning. Strong background in neuromorphic computing, hardware-efficient AI, or computational neuroscience is a plus. Experience managing and mentoring senior engineers, influencing company-wide technical direction, and driving engineering excellence. Exceptional communication skills with the ability to More ❯

a blend of working from home and our offices, located in London, Southampton & Yeovil. Talk to us about how we can best support you! We are looking for a Machine Learning Engineers at Senior to join our growing team, to develop and deploy core ML/AI algorithms required to tackle data science challenges across Kingfisher Group. You … carrying out automated build and deployments, working closely with colleagues in the Data Science team as well as stakeholders across the business. What's the job? Develop high-quality machine learning models to solve business challenges Develop production quality code and carry out basic automated builds and deployments Write comprehensive, well written documentation that meets our needs Identify … data science projects and manage deliverables What you'll bring Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture Solid understanding of classical Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc), state-of-the-art research area (e.g. NLP, Transfer Learning etc) and modern Deep Learning algorithms (e.g. More ❯

from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. As a Distinguished Engineer at LinkedIn, you will architect and lead the next generation of AI solutions that power LinkedIn's content products - from feed to videos to news- by employing the latest … techniques - from reinforcement learning to generative AI to large-scale deep learning models. You will design strategies for holistic optimization of LinkedIn's ecosystem across all consumer product surfaces to create a cohesive, highly personalized experience for our members. LinkedIn relies on innovative AI research and applications that you will help us build. As a key leader in … the state of the art in the industry, and leverage and create open-source software in the process. Qualifications Basic Qualifications: PhD in a relevant field or related discipline (machine learning, statistics, computer science etc.), or equivalent research experience 10+ years of relevant work experience Experience leading technical projects with multiple stakeholders Preferred Qualifications: 10+ years experience in 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 … legacy codebases. Enable and help other colleagues on the team to be more effective through leading by example when it comes to writing high-quality code, being rigorous with Machine Learning experimentation and knowledge sharing. Collaborate closely with stakeholders from multiple teams in different time-zones to define interfaces and requirements for an end-to-end stack. Experience More ❯

and supermarkets, and high street retail stores. We operate in more than 1500 cities across 25 countries. Job Description We are looking for a highly skilled and passionate software engineer to join the Global Feature Store team at Glovo. The Feature Store is a key component of Delivery Hero's Machine Learning stack, allowing Data Scientists easy … degree in Computer Science or relevant experience. Experience diagnosing and resolving performance problems in complex software systems. Strong interest and experience in data-intensive application development Familiarity with the Machine Learning lifecycle. Strong Java/Kotlin/Python or other high-level language skills. Extensive knowledge of object-oriented programming and software architecture. Knowledge of relational databases, and More ❯

to operate at new levels of efficiency and precision. Fueled by our Series B funding from renowned investors, we're poised for major growth and innovation. As a Senior Engineer with a focus on all things AI at Raft, you'll be instrumental in shaping the architecture and capabilities of our platform to support features at the cutting-edge … with product managers, UX designers, and customers to understand pain points and translate them into effective technical solutions Mentor junior engineers and foster a culture of innovation and continuous learning Stay current with the rapidly evolving AI landscape and recommend strategic technology adoption Requirements Brings 5+ years of hands-on experience in software development with a strong focus on More ❯