501 to 525 of 861 Machine Learning Engineer Jobs

global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI. 🌎 Location and Legalities This full-time Machine Learning Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics … does not provide visa sponsorship. 🚀 What You'll Do As a Machine Learning Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class Ultralytics YOLO models. You will work on the entire lifecycle of our models, from research and development to high-performance deployment. Key responsibilities include: Developing, training, and validating … critical in advancing the capabilities of our models and supporting Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience 5+ years of professional experience in Machine Learning Engineering or a similar role. Deep expertise in Python and deep learning frameworks, with a strong preference for PyTorch. Proven experience with computer vision and a More ❯

Social network you want to login/join with: Are you interested in harnessing machine learning to power new personalisation experiences for travellers? Do you believe that modern online experiences should adapt to the needs and preferences of individual users? Are you fascinated by data, machine learning techniques, and software systems engineering? Do you love building … cloud infrastructure. Coding proficiency in at least one modern programming language (Java, Scala, Python etc.). Strong background in data structures and algorithms Experience working with at least one machine learning framework (TensorFlow, PyTorch, XGBoost, etc) Experience working with big data technologies (Spark, Kafka, Hive, Databricks, feature stores, etc). Experience working with containerisation, deployment and orchestration technologies More ❯

Social network you want to login/join with: Principal Machine Learning Engineer, london col-narrow-left Client: ShareChat Location: london, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 5 Posted: 12.05.2025 Expiry Date: 26.06.2025 col-wide Job Description: Who are we and What do we do? From the humble … our creator ecosystem, and developing models for strategic content valuation. Multi-objective balancing and long term measurement. We rely extensively on state-of-the-art ML around personalization, deep learning, bandits, causal inference, optimization, ranking and recommendation. AI - Our AI teams are spearheading the research and development, presenting innovations at various conferences. Explore our team’s publications and research … here. What You’ll Do? As a Principal Machine Learning Engineer in the ShareChat AI team, you will play a pivotal role in defining and executing the ML strategy across key business domains. You will serve as one of the senior-most individual contributors in machine learning, with opportunities to lead and contribute to multiple More ❯

Job Description: Arm's Machine Learning Group is seeking highly motivated and creative Software Engineers to join the Cambridge-based ML Content, Algorithms and Tools team! This Machine Learning Engineer role focuses on advancing the field of AI by optimizing and deploying pioneering models, particularly Large Language Models (LLMs) and Generative AI algorithms. This involves … etc.) to port and develop ML networks, optimize and quantize models for efficient execution on Arm platforms, and help ensure multiple Arm products are designed to perform effectively for machine learning. As an in-depth technical responsibility, you will need to deeply understand the complex applications you analyze and communicate them in their simplest form to contribute to product … components to improve automation of model analysis • Good knowledge of Python for working with ML frameworks • Good knowledge of C++ for working with optimised ML libraries • Previous experience of machine learning projects • Experience with deployment optimizations on machine learning models In Return : From research to proof-of-concept development, to deployment on ARM IPs, joining this More ❯

Machine Learning Operations (ML Ops) Engineer Machine Learning Operations (ML Ops) Engineer 12 hours 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 third party, the 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 or Selby Permanent, full time Closing date … 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 ❯

Voluntary Benefits Health Cash Plan, Dental, Will Writing etc Annual Leave 23 days rising to 27 with length of service Sick Pay Increasing with length of service Role overview: Machine Learning Engineer (Manchester or London, Hybrid working) We are looking for an experienced Machine Learning Engineer to join a newly formed data science team. … currently in Databricks and Azure) Experience with Databricks Experience with managed endpoints, AKS or equivalent Experience with VCS Experience with CI/CD Understanding/identifying opportunity to apply machine learning knowledge to solve business problems Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights … clients to engage, develop and harness the skills they need to achieve and grow the workforce they want. Our culture: At Peregrine we embrace fresh ideas, and we love learning fast. Our solutions are trusted and established, so we have the confidence of knowing we have a solid foundation. We rely on openness and honesty, and were always ready More ❯

Voluntary Benefits ??? Health Cash Plan, Dental, Will Writing etc ??Annual Leave ??? 23 days rising to 27 with length of service ??Sick Pay ??? Increasing with length of service Role overview:Machine Learning Engineer (Manchester or London, Hybrid working) We are looking for an experienced Machine Learning Engineer to join a newly formed data science team.You … currently in Databricks and Azure) ??Experience with Databricks ??Experience with managed endpoints, AKS or equivalent ??Experience with VCS ??Experience with CI/CD ??Understanding/identifying opportunity to apply machine learning knowledge to solve business problems ??Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights … clients to engage, develop and harness the skills they need to achieve and grow the workforce they want. Our culture: At Peregrine we embrace fresh ideas, and we love learning fast. Our solutions are trusted and established, so we have the confidence of knowing we have a solid foundation. We rely on openness and honesty, and we???re always More ❯

Machine Learning Operations (MLOps) Engineer Flexible Location – Ipswich, London or Selby Permanent, full time Closing date - 2 July 2025 Who we are We’re not just talking about making a difference, we’re making it happen. We generate dispatchable, renewable power and create stable energy in an uncertain world. Building on our proud heritage, we have ambition … 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 … TensorFlow, PyTorch, Keras, Scikit-Learn) - Working knowledge of object-oriented programming and unit testing in Python - Working knowledge of application and information security principles and practices (e.g. OWASP for Machine Learning) - Working knowledge of Unix-based CLI commands, source control and scripting - Working knowledge of containerisation (e.g. Docker) and container orchestration (e.g. Kubernetes) - Working knowledge of a cloud More ❯

Machine Learning Operations (MLOps) Engineer Flexible Location – Ipswich, London or Selby Permanent, full time Closing date - 2 July 2025 Who we are We’re not just talking about making a difference, we’re making it happen. We generate dispatchable, renewable power and create stable energy in an uncertain world. Building on our proud heritage, we have ambition … 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 … TensorFlow, PyTorch, Keras, Scikit-Learn) - Working knowledge of object-oriented programming and unit testing in Python - Working knowledge of application and information security principles and practices (e.g. OWASP for Machine Learning) - Working knowledge of Unix-based CLI commands, source control and scripting - Working knowledge of containerisation (e.g. Docker) and container orchestration (e.g. Kubernetes) - Working knowledge of a cloud More ❯

Machine Learning Operations (MLOps) Engineer Flexible Location – Ipswich, London or Selby Permanent, full time Closing date - 2 July 2025 Who we are We’re not just talking about making a difference, we’re making it happen. We generate dispatchable, renewable power and create stable energy in an uncertain world. Building on our proud heritage, we have ambition … 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 … TensorFlow, PyTorch, Keras, Scikit-Learn) - Working knowledge of object-oriented programming and unit testing in Python - Working knowledge of application and information security principles and practices (e.g. OWASP for Machine Learning) - Working knowledge of Unix-based CLI commands, source control and scripting - Working knowledge of containerisation (e.g. Docker) and container orchestration (e.g. Kubernetes) - Working knowledge of a cloud More ❯

Get started with your online application Not quite your dream role? Sign up to get notified when the right vacancy comes along. Senior Machine Learning Engineer The Data + Science Team At Deliveroo we have a world-class data & science organisation, with a mission to enable the highest quality human and machine decision-making. We have … over 200 Machine Learning Engineers, Data Scientists, Data Analysts, and Analytics Engineers working throughout the company in product, business and platform teams. We have a strong, active data science community, with guest lecturers; a robust technical review process; a career progression framework; and plenty of opportunities to learn new things. The Role We are hiring several Senior MLE … teams across all sides of our marketplace (consumer, delivery, restaurants, grocery, and retail). Our interview process is team-agnostic. As an MLE, you will develop the algorithmic and machine-learning systems that power Deliveroo. You will work in a cross-functional team alongside engineers, data scientists and product managers to develop systems that make automated decisions at More ❯

Senior/Lead Machine Learning Engineer (Predictions) London We’re very proud of our achievements: In July 2024, we secured a $200M investment led by General Atlantic to help revolutionise women’s health, and became the first purely digital consumer women’s health app to achieve unicorn status! We’ve had 380M+ downloads, have over 70M monthly … s most popular female health app! Our engineers aren’t just building a better product; they’re making the world a better place by improving female health. We leverage Machine Learning and AI to create a more personalised experience for our users, from providing more accurate cycle predictions to delivering relevant, personalised, and medically credible health insights. We … are looking for a Machine Learning Engineer to join the Predictions team. This team focuses on one of the cornerstone features of the Flo Health app: delivering accurate predictions to our users about their cycles and more. We develop state of the art solutions to provide the most accurate predictions to our users on the app. To More ❯

Lead Machine Learning Engineer - Forecasting (3-Month Contract) Location: Hybrid (minimum 1 day/week in our Vauxhall, London office) Contract Type: Full-time, Fixed-Term (3 months) Salary: Competitive, based on experience Eligibility: UK-based applicants only About Oddbox Oddbox is on a mission to fight food waste and transform the food system through our fruit … we're just getting started. As we scale our environmental impact, we're investing in smarter technology and forward-looking ML capabilities. We're now seeking an accomplished Lead Machine Learning Engineer to spearhead innovation in forecasting and customer behaviour modelling , enabling more sustainable, data-driven operations. About the Role This is a contract-to-impact opportunity … is a rare opportunity to make an immediate, mission-driven impact at a company that values experimentation, autonomy, and sustainability. If you're a Lead or Staff-level ML Engineer ready to shape forecasting strategy and ship high-leverage systems, we'd love to hear from you. More ❯

Research Engineer, Machine Learning (Horizons) London, UK About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to … build beneficial AI systems. About the role: As a Research Engineer on the Reinforcement Learning Fundamentals team, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models through fundamental research in reinforcement learning, improving reasoning abilities in areas such as code generation and mathematics, and exploring … reinforcement learning for agentic/open-ended tasks. Representative projects: Develop and implement novel reinforcement learning techniques to improve the performance and safety of large language models. Create tools and environments for models to interact with, enabling them to perform complex, open-ended tasks. Design and run experiments to enhance models' reasoning capabilities, particularly in code generation and More ❯

team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. Role Overview: We are looking for an independent, dedicated Senior or Staff Machine Learning Engineer to join the Visual Computing Group (VCG) and contribute to redefining the world of game play and live streaming via advanced R&D. VCG’s … mission is to design and deploy advanced neural networks and machine learning (ML) for game rendering and streaming systems of SIE that exceed the state-of-the-art in runtime efficiency, visual quality and latency. What you’ll be doing: Develop and improve core generative models for graphics and video processing for a variety of applications, such as … the team in core R&D work with other teams within Sony Interactive Entertainment What we’re looking for: PhD or MSc in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post Strong background in: TensorFlow or PyTorch; Python More ❯

challenges and taking brands direct-to-consumer. Our client portfolio includes globally recognised brands such as Coca-Cola, Nestle, Elemis, Homebase, and Proctor & Gamble. About the Role As a Machine Learning Engineer you will be involved in research and development of advanced Machine Learning algorithms at THG. Your focus will be researching state-of-the … art AI technologies and deep learning algorithms to provide practical solutions to the rest of the business. You will be strong in software engineering and have a track record of building production quality systems. You will also provide technical support to the team and the larger THG Data community with regards to data solution design and engineering, implementation of … role where you will write code, analyse and cleanse data and provide robust solutions to real business problems using the Data at your disposal. Key Responsibilities: Lead and deliver machine learning projects end- to- end from scoping to deployment ensuring alignment with business needs and timelines. Build and deploy high- quality, production- strength ML models and systems, including More ❯

The AI & ML Applications team is committed to empower other Zepz teams to leverage data in order to solve analytical problems. We are a team of data scientists and machine learning engineers that work together to go from ideation to production. We own end-to-end data engineering pipelines and ML models that span multiple applications (think fraud … build. Our current tech stack includes Airflow, Fivetran, DBT, Databricks as well as supporting real-time services. Our work is primarily in Python, leveraging some of the most used machine learning packages but you may have to dig into JVM code as well as Terraform from time to time. You will build and maintain data pipelines and scalable … machine learning inference systems in production. Own delivery. We're driven by shipping value; you'll own work beyond just a pull request. You'll care about bugs, scalability, uptime and other non-functional requirements. Grow together. You'll review other's work and happily seek feedback on yours to ensure we build a better codebase and sharpen More ❯

that empower content developers worldwide. What You'll Do You will work with our team of applied research engineers at the intersection of computer vision, natural language processing and machine learning to create state-of-the-art tools to support game developers in our ecosystem, as well as automation of a number key areas, including localization, moderation, and … testing. You will be responsible for the design, implementation and deployment of production-ready machine learning models that can be integrated in our ecosystem, with various applications (e.g. content generation, development assistants, etc.). In this role, you will Create and deliver production-ready, scalable and high-quality machine learning models and associated algorithms Critically assess …/creation of new ones What we're looking for PhD in Computer Science, Mathematics or related field, or 3+ years of relevant industry experience Experience creating/applying machine learning algorithms for vision (2D or 3D) or language problems and deploying them as production-level systems Expert, hands-on knowledge of: Deep learning, incl. but not More ❯

Cloud product targeting Anti-Money Laundering. We exist to deploy technologies that make a measurable difference in tackling financial crime. Who are we looking for? We are looking for machine learning engineers to build and deploy repeatable data and machine learning pipelines, web apps, and end-to-end systems for AI products on our banking client … strategies for system and architecture design, preferably within financial services or another complex or regulated industry. Desirable Experience of financial crime and transaction monitoring. Experience of working with managed machine learning APIs. Tech stack We expect to test some of these during the interview process. Must Proficiency with Python in an organized code base for data pipelines and … machine learning. Proficiency with data manipulation languages and carrying out data analysis and hypothesis testing - Advanced SQL OR Python. Experience with big data technologies and data platforms - we use BigQuery, Apache Ibis, SQLGlot, DBT. You might have experience with Hadoop, Hive, Redshift, Snowflake, Spark or similar. Experience with Version control/CI/CD - we use Git and GitHub More ❯

Social network you want to login/join with: Position Summary The Distributed AI group in SAIC Cambridge is looking for a Machine Learning Engineer to join the team and work directly with research scientists and ML engineers of diverse skill sets, supporting research efforts in the areas of embedded/distributed ML, communications and robotics. The More ❯

colleagues 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 Machine Learning Engineers at Senior and Mid Level to join our growing team, to develop and deploy core ML/AI algorithms required to tackle data science challenges across … quality code and carrying out automated builds and deployments, working closely with colleagues in the Data Science team as well as stakeholders across the business. Responsibilities 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 … work on multiple data science projects and manage deliverables Qualifications 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 areas (e.g., NLP, Transfer Learning, etc.), and modern Deep Learning algorithms (e.g. More ❯

easier for coaches and athletes at any level to capture video, analyze data, share highlights and more. Ready to join us? Your Role We’re looking for a Senior Machine Learning Engineer to join our team and deliver new experiences and valuable insights to our coaches, athletes and fans. You’ll drive game-changing initiatives that use … cutting-edge computer-vision and deep learning at scale to shape the future of sports at every level, from professional teams to local high schools. As a Senior ML Engineer, your priorities will include: Delivering for customers at scale. Design, build and deploy ML models and systems on both cloud and edge environments, scaling to thousands of simultaneous More ❯

You'll Do You will be responsible for designing, building, and maintaining our data infrastructure to ensure the reliability and efficiency of our data and systems used by our Machine Learning team. Your role will include creating and maintaining data pipelines that transform and load data from various products and managing the AWS infrastructure for our machine learning platform. Additionally, you will work with engineers, product managers, and data scientists to design and implement robust and scalable data services that support Epic's mission while ensuring our user’s privacy. In this role, you will Interact with product teams to understand how our safety systems interact with their data systems. Design and implement an automated … end-to-end ETL process, including data anonymization, to prepare data for machine learning and ad hoc analysis. Manage and scale the tools and technologies we use to label data running on AWS. Devise database structure and technology for storing and efficiently accessing large data sets (millions of records) of different types (text, images, videos, etc.). Use More ❯

easier for coaches and athletes at any level to capture video, analyze data, share highlights and more. Ready to join us? Your Role We're looking for a Senior Machine Learning Engineer to join our team and deliver new experiences and valuable insights to our coaches, athletes and fans. You'll drive game-changing initiatives that use … cutting-edge computer-vision and deep learning at scale to shape the future of sports at every level, from professional teams to local high schools. As a Senior ML Engineer, your priorities will include: Delivering for customers at scale. Design, build and deploy ML models and systems on both cloud and edge environments, scaling to thousands of simultaneous More ❯

innovation and time-tested Japanese quality craftsmanship. We leverage these strengths to enhance driver capabilities, foster happiness, and elevate well-being. Team At Woven by Toyota, we develop advanced Machine Learning solutions for autonomous driving. Our team works on designing neural networks, innovative end-to-end architectures, and advancing ML techniques in perception, prediction, and motion planning. We … are passionate about pushing autonomous system boundaries through deep learning and optimization, especially in complex 3D geometric computer vision scenarios. We seek passionate innovators eager to redefine mobility through AI and robotics, shaping the future of self-driving technology. Woven by Toyota is collaborating with Toyota Research Institute (TRI) on a project to develop a fully end-to-end More ❯