51 to 75 of 127 Machine Learning Engineer Jobs

This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of products and radically alter the shape, performance and effectiveness of existing ones. As industry goes through a machine learning revolution you can be here, leading the charge. You will work across the whole machine learning development lifecycle from initial concepts through data collection, cleaning and preparation to prototyping, testing and evaluation. With your models integrated with leading edge electronics, the final products are fully functional prototypes and demonstrator units manufactured at small scale. What's special about this group is they do this dozens of times per year working across multiple domains. … You can be working on computer vision for one project and generative models for the next. Requirements: Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch Broad knowledge of machine learning techniques across multiple domains and the ability to transition More ❯

Job Title: Machine Learning Engineer Location: Hybrid - Travel to SCIFs in DMV area as and when needed Clearance: Top Secret or higher Salary: $180k-$215k + Equity Join a pioneering company at the forefront of Intelligent Exploration and Enterprise AI. This innovative organization is seeking a Machine Learning Engineer to play a crucial role … in enhancing their cutting-edge AI Platform. With a focus on bridging machine learning, data engineering, and software development, this position offers exciting career advancement opportunities for those looking to move into senior engineering roles or technical leadership. The company is known for its dynamic culture, commitment to innovation, and a collaborative environment that fosters professional growth. As … applications, considering current trends and future growth. Collaborate with Technical Product Managers to drive usability enhancements, ensuring products meet user expectations. What We're Looking For: Proven experience in machine learning, data engineering, or software development. Proficiency in Python, particularly with SDKs for data visualization. Strong problem-solving skills, especially in optimizing performance and scalability. Ability to work More ❯

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 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 … in optimising their presence on Deliveroo, for example by recommending that they improve their menus or photography, or add a popular dish. Requirements 3+ years' experience as a ML Engineer or Data Scientist 3+ years' experience in Python Experience productionising ML models Experience using tools like Git, Docker, Kubernetes, CircleCI You know the fundamentals of machine learning More ❯

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 ❯

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 ❯

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 ❯

Role: Machine Learning Operations Engineer Location: Oxfordshire Salary: £65,000 - £75,000 This is an exciting opportunity to join a world leading company specialising in motion capture and tracking systems, with products used globally in the entertainment, engineering, and life sciences sectors. My Client are looking for a talented Machine Learning Operations Engineer to … support and enhance their cutting edge machine learning capabilities. The Role You will join a collaborative Research and Development team based in Oxford, contributing to the development and maintenance of a modern ML operations stack. This includes data acquisition pipelines, data management, and machine learning model training infrastructure. The environment includes both self-managed on premise More ❯

Role: Machine Learning Operations Engineer Location: Oxfordshire Salary: £65,000 - £75,000 This is an exciting opportunity to join a world leading company specialising in motion capture and tracking systems, with products used globally in the entertainment, engineering, and life sciences sectors. My Client are looking for a talented Machine Learning Operations Engineer to … support and enhance their cutting edge machine learning capabilities. The Role You will join a collaborative Research and Development team based in Oxford, contributing to the development and maintenance of a modern ML operations stack. This includes data acquisition pipelines, data management, and machine learning model training infrastructure. The environment includes both self-managed on premise More ❯

Net Zero | Machine Learning Engineer | London (Hybrid) We’re hiring a Machine Learning Engineer to join a fast-growing EnergyTech startup building the software to power a fully decarbonised energy system! Backed by top VCs (Meta, Slack, BeReal investors), this team is helping the grid shift to clean, cheap power - in real-time. Their … thousands of energy assets (EV chargers, home batteries, heating systems), and they’re just getting started. What you'll do: 🔍 Work on real-time energy optimisation using Python + machine learning 🔍 Own technical challenges end-to-end 🔍 Build software that directly reduces emissions 🔍 Write production code 🔍 Ship real-world solutions quickly Why join? 🚀 $10M+ raised = strong runway 💥 Huge … ownership + greenfield problems 💡 Fast, mission-driven team focused on learning and climate impact A plus but not essential: ⚡️ Power trading or electricity systems 📈 Time-series data 🎙 Comfortable chatting with clients Tech: Python/Streamlit/Docker/GCP/Figma More ❯

Net Zero | Machine Learning Engineer | London (Hybrid) We’re hiring a Machine Learning Engineer to join a fast-growing EnergyTech startup building the software to power a fully decarbonised energy system! Backed by top VCs (Meta, Slack, BeReal investors), this team is helping the grid shift to clean, cheap power - in real-time. Their … thousands of energy assets (EV chargers, home batteries, heating systems), and they’re just getting started. What you'll do: 🔍 Work on real-time energy optimisation using Python + machine learning 🔍 Own technical challenges end-to-end 🔍 Build software that directly reduces emissions 🔍 Write production code 🔍 Ship real-world solutions quickly Why join? 🚀 $10M+ raised = strong runway 💥 Huge … ownership + greenfield problems 💡 Fast, mission-driven team focused on learning and climate impact A plus but not essential: ⚡️ Power trading or electricity systems 📈 Time-series data 🎙 Comfortable chatting with clients Tech: Python/Streamlit/Docker/GCP/Figma More ❯

Lead Machine Learning Engineer - LLMs - Ramboll Tech At Ramboll Tech, we believe innovation thrives in diverse, supportive environments where everyone can contribute their best ideas. As a Lead Machine Learning Engineer, you will create cutting-edge AI solutions, mentor others, and foster a culture of collaboration and growth. As the sparring partner for your … great fit if you bring some of the following qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. Minimum 5 years of experience in machine learning projects. At least 2 years in a senior or lead role. Proven expertise with modern LLMs in production. Leadership skills: Proven leadership in agile environments, strong communication … We are a growing team committed to diversity, inclusion, and a positive culture, focusing on solutions, growth, and mutual support. TEAM CULTURE We prioritize daily idea exchange, support, continuous learning, and diversity. Our hybrid work approach offers flexibility, with regular in-person meetings. ABOUT RAMBOLL Ramboll is a global architecture, engineering, and consultancy firm dedicated to sustainable change and More ❯

Figure Eight Federal (F8F): Leading the Future of AI Training Data Figure Eight Federal (F8F) provides accurate and reliable human annotated datasets that fuel AI and machine learning for some of the world's biggest brands. With more than 25 years of industry knowledge, F8F's technology powers many of the AI interactions we experience every day. Our … Geospatial Data Scientist (GDS) to join our team at the cutting edge of data focused geospatial analytics. This role sits at the critical intersection of remote sensing, computer vision, machine learning, and data science. The ideal candidate will possess advanced knowledge of raster-level geospatial data, comprehensive understanding of collection metadata, and expertise in various sensing phenomenologies including … Electro-Optical (EO), Infrared (IR), and Synthetic Aperture Radar (SAR). This position is pivotal in bridging the gap between geospatial data expertise and machine learning applications. Responsibilities: Analyze and process complex geospatial datasets from multiple sensing modalities (EO, IR, SAR) Evaluate dataset quality, coverage, and metadata to determine suitability for ML applications Develop and implement innovative data More ❯

heart of our success! At QiH, we have created an energetic and target-driven culture and continuously invest in each individual. The Role We are seeking an experienced Senior Machine Learning Engineer to join our dynamic team. You’ll be at the forefront of designing, developing, and deploying ML models that power personalised advertising, customer journey analytics … powered by Google Cloud Platform (GCP), and we pride ourselves on applying cutting-edge techniques to real-world marketing and advertising challenges. Key Responsibilities: Design, build, and deploy scalable machine learning models for ad targeting, user segmentation, conversion prediction, and content personalization. Develop production-grade ML pipelines leveraging GCP services like Vertex AI, BigQuery, Dataflow, and Pub/… Sub. Collaborate cross-functionally with Data Science, Data Engineering, and Product teams to translate business objectives into ML solutions. Research and implement state-of-the-art techniques in deep learning, reinforcement learning, and large-scale optimization relevant to Ad Tech and Mar Tech. Monitor, troubleshoot, and continuously improve model performance in production environments. Mentor junior engineers and promote More ❯

heart of our success! At QiH, we have created an energetic and target-driven culture and continuously invest in each individual. The Role We are seeking an experienced Senior Machine Learning Engineer to join our dynamic team. You’ll be at the forefront of designing, developing, and deploying ML models that power personalised advertising, customer journey analytics … powered by Google Cloud Platform (GCP), and we pride ourselves on applying cutting-edge techniques to real-world marketing and advertising challenges. Key Responsibilities: Design, build, and deploy scalable machine learning models for ad targeting, user segmentation, conversion prediction, and content personalization. Develop production-grade ML pipelines leveraging GCP services like Vertex AI, BigQuery, Dataflow, and Pub/… Sub. Collaborate cross-functionally with Data Science, Data Engineering, and Product teams to translate business objectives into ML solutions. Research and implement state-of-the-art techniques in deep learning, reinforcement learning, and large-scale optimization relevant to Ad Tech and Mar Tech. Monitor, troubleshoot, and continuously improve model performance in production environments. Mentor junior engineers and promote More ❯

costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing … to be part of the future? About the job At Tether, we are at the forefront of integrating artificial intelligence with brain-computer interface technologies. Our projects leverage deep learning, generative models, and representation learning to decode and interpret brain activity. With our foundation in both established and cutting-edge AI infrastructure, our mission is to bridge the … gap between AI and neuroimaging, driving innovation that's not only revolutionary but also accessible, transparent, and privacy-focused. We are looking for a motivated and skilled machine learning engineer to join our dynamic Brain & AI team. This role focuses on developing AI models that enhance our understanding of neural mechanisms building encoding and decoding models and More ❯

Senior Machine Learning Engineer – Fully Remote UK (London) Location: Remote (UK-based preferred) Salary: Up to £120,000 base stock options Type: Permanent | Full-Time Start Date: September 2025 ideally Join a high-growth, AI-first scale-up transforming one of the world’s most document-intensive sectors. Backed by recent multi-million-pound funding and led … by senior technologists from tech unicorns, this is an opportunity to build real-world GenAI products that make a measurable impact. We’re looking for a Senior Machine Learning Engineer to build and deploy production-grade NLP and LLM solutions. You’ll work with high-value, sensitive data and play a key role in the automation of … What You’ll Do • Design and deploy LLM and transformer-based models for document classification and key data extraction • Build automated ML pipelines for model training, testing, and deployment • Engineer robust APIs and integrate models into scalable backend systems • Experiment with GenAI techniques and fine-tuning strategies • Collaborate with product, infrastructure, and compliance teams to deliver real-world results More ❯

Come Join Our Team! APK Solutions is a government contractor providing professional and technical services to the intelligence community. We are currently looking for a Machine Learning Engineer to join our winning team. The individual hired for this position will provide support for our government customer located in Chantilly, VA. REQUIRED SKILLS AND DEMONSTRATED EXPERIENCE • Demonstrated experience … given task, choosing appropriate pre-processing actions, performing analysis, and assessing model performance. • Demonstrated professional or academic experience using Python or R. • Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras. (KEY EXPERIENCE FOR CUSTOMER) • Demonstrated professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated … with the HuggingFace Transformers library and hub. • Demonstrated experience with cloud computing development and architecture. • Demonstrated experience with front-end web development frameworks such as Flask. • Demonstrated experience creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning (SciKit Learn-) or deep learning models. • Demonstrated experience developing applications More ❯

The world will be unrecognisable in 5 years. Machine learning models are driving our cars , testing our eyesight , detecting our cancer , giving sight to the blind , giving speech to the mute , and dictating what we consume, enjoy, and think . These AI systems are already an integral part of our lives and will shape our future as a … infinitely patient and leave no student behind. We'll augment our memories with foundation models -individually tailored to us through RLHF and connected directly to our thoughts via Brain-Machine Interfaces-blurring the lines between organic and machine intelligence and ushering in the next generation of human development. This future demands immense, globally accessible, uncensorable, computational power. Gensyn … is the machine learning compute protocol that translates machine learning compute into an always-on commodity resource-outside of centralised control and as ubiquitous as electricity-accelerating AI progress and ensuring that this revolutionary technology is accessible to all of humanity through a free market. Our Principles: AUTONOMY Don't ask for permission - we have a More ❯

Job Description: We are seeking an experienced Machine Learning Engineer with expertise in big programmes and has contributed to the delivery of complex business cloud solutions. The ideal candidate will have a strong background in Machine Learning engineering and an expert in operationalising models in the Databricks MLFlow environment (chosen MLOps Platform). Responsibilities: Collaborate … with Data Scientists and operationalize the model with auditing enabled, ensure the run can be reproduced if needed. Implement Databricks best practices in building and maintaining economic modelling (Machine Learning) pipelines. Ensure the models are modular. Ensure the model is source-controlled with agreed release numbering. Extract any hard-coded elements and parameterise them so that the model More ❯

We are seeking a Machine Learning Engineer to join the User Fraud R&D Studio at Spotify. Our mission is to protect Spotify from fake accounts and artificial streaming. You'll work in a fast-moving team that experiments, iterates, and deploys innovative fraud prevention solutions. This includes analysing diverse user behaviours, uncovering patterns of abuse, and … product management, and engineering to combat fraud Prototype new approaches and productionise solutions Help drive optimisation, testing, and tooling to improve quality Be part of an active group of machine learning practitioners in your mission and across Spotify Conduct analyses to gain insights on fraudulent behaviours and trends Be responsible for monitoring the quality and performance of the … squad's ML models Who You Are You have a strong background in machine learning, theory, and practice You are comfortable explaining the intuition and assumptions behind ML concepts You have hands-on experience implementing and maintaining production ML systems in Python, Scala, or similar languagesExperience with TensorFlow or Pytorch You are experienced with building data pipelines, and More ❯

MCS Group is working exclusively with a fast-scaling technology company in their search for a Lead Machine Learning Engineer. With significant investment onboard, our client are in scale up mode and plan to double their headcount by the end of this year. This Lead Machine Learning Engineer is a newly created role within the … business, and will allow a talented and passionate ML Engineer to drive the adoption of AI and ML into their core product. You'll take the lead on designing, building, and deploying ML models at scale-working closely with the senior leadership team and wider engineering and product functions to solve real-world problems. What you'll need: Strong … AWS Ability to lead projects, mentor engineers, and drive best practices in ML engineering If you're excited about leading from the front and making a real impact with machine learning, we'd love to hear from you. Salary Circa £85,000 - £95,000 with package which includes equity and private medical. To speak in absolute confidence about More ❯

MCS Group is working exclusively with a fast-scaling technology company in their search for a Lead Machine Learning Engineer. With significant investment onboard, our client are in scale up mode and plan to double their headcount by the end of this year. This Lead Machine Learning Engineer is a newly created role within the … business, and will allow a talented and passionate ML Engineer to drive the adoption of AI and ML into their core product. You'll take the lead on designing, building, and deploying ML models at scale-working closely with the senior leadership team and wider engineering and product functions to solve real-world problems. What you'll need: Strong … AWS Ability to lead projects, mentor engineers, and drive best practices in ML engineering If you're excited about leading from the front and making a real impact with machine learning, we'd love to hear from you. Salary Circa £85,000 - £95,000 with package which includes equity and private medical. To speak in absolute confidence about More ❯

Machine learning. A long way has come since Sci-Fi films like Terminator and iRobot got us thinking about robots taking over the world. But in the 2020s, hearing AI and machines in the same sentence means a world of innovation. This is a chance to be part of a brand new Machine Learning team within one … for model training and evaluation, collaborating with Data Scientists and Engineers to get these solutions into production, and driving improvements in MLOps processes. You'll have worked as a Machine Learning Engineer or Data Scientist in the past, ideally centred around a software product, and have solid Python coding skills, and expertise with cloud infrastructure (preferably AWS … tools such as MLflow and Airflow is essential, with any knowledge of AI SaaS or GenAI APIs being is a bonus. But what truly matters is your passion for learning and advancing technology. In return, you'll be offered a supportive team culture with flexible, hybrid work options and room for professional growth. If you're eager to contribute More ❯

a diverse team of hardworking problem solvers located across multiple countries and our flexible working practices enable us to collaborate efficiently across our different regions. We design and deliver machine learning software packages, tools, and reference workloads that help internal teams and partners explore and evaluate the capabilities of upcoming Arm-based platforms. These efforts support early validation … performance analysis, and enablement of advanced workloads targeting machine learning use cases. Responsibilities: We apply our deep software expertise and collaborative spirit to work directly with leading technology companies, shaping the future of compute before silicon even exists. You will play a critical role in enabling and validating software stacks on pre-silicon platforms-including simulators, emulators, and … prototypes-to ensure the seamless deployment of high-performance solutions when silicon arrives.This includes providing architectural design guidance, as well as designing, developing, and deploying machine learning workloads tailored to pre-silicon environments. You will work closely with multi-functional teams to resolve functional bottlenecks and deliver optimized, production-ready solutions. You will be responsible for building proof More ❯

models. This is a greenfield project with significant scope to influence both its technical architecture and product impact from the ground up. We're looking for a hands-on Machine Learning Engineer with deep expertise in building, optimising, and deploying ML systems - particularly in the areas of speech, LLMs, or multimodal learning. You will take cutting-edge … research and turn it into production-ready models, enabling real-time, scalable, and reliable multimodal AI experiences. What You'll Be Doing Building and productising machine learning models for speech-to-text, text-to-speech, and speech-to-speech tasks Translating academic and internal research into scalable, maintainable code and services Developing and maintaining training pipelines, inference services … end-to-end features What We're Looking For Strong engineering background with experience shipping ML systems to production Deep familiarity with speech technologies (ASR, TTS), LLMs, or multimodal machine learning Proficient in Python, with expertise in ML frameworks such as PyTorch Experience building scalable ML pipelines (training, validation, deployment, monitoring) Knowledge of Docker, Kubernetes, and ML deployment More ❯