ML OPs Engineer Luton/Hybrid COMPANY When it comes to innovation and achievement there are few organisations with a better track record. Join us and you’ll be able to play a big part in the success of our highly successful, fast-paced business that opens up Europe so … over 80 million passengers a year, we employ over 13,000 people. Its big-scale stuff and we’re still growing. JOB PURPOSE The ML Ops Engineer acts as the backbone of machinelearning operations, bridging the gap between research and production. They collaborate with teams across the … solutions and work with engineers to maintain optimal performance in production environments. KEY SKILLS REQUIRED To excel as a MachineLearning Operations (ML Ops) Engineer, candidates must possess a unique blend of technical expertise, problem-solving capabilities, and collaborative skills. This role requires proficiency in managing machineMore ❯
ML OPs Engineer Luton/Hybrid COMPANY When it comes to innovation and achievement there are few organisations with a better track record. Join us and you’ll be able to play a big part in the success of our highly successful, fast-paced business that opens up Europe so … over 80 million passengers a year, we employ over 13,000 people. Its big-scale stuff and we’re still growing. JOB PURPOSE The ML Ops Engineer acts as the backbone of machinelearning operations, bridging the gap between research and production. They collaborate with teams across the … solutions and work with engineers to maintain optimal performance in production environments. KEY SKILLS REQUIRED To excel as a MachineLearning Operations (ML Ops) Engineer, candidates must possess a unique blend of technical expertise, problem-solving capabilities, and collaborative skills. This role requires proficiency in managing machineMore ❯
ML OPs Engineer Luton/Hybrid COMPANY When it comes to innovation and achievement there are few organisations with a better track record. Join us and you’ll be able to play a big part in the success of our highly successful, fast-paced business that opens up Europe so … over 80 million passengers a year, we employ over 13,000 people. Its big-scale stuff and we’re still growing. JOB PURPOSE The ML Ops Engineer acts as the backbone of machinelearning operations, bridging the gap between research and production. They collaborate with teams across the … solutions and work with engineers to maintain optimal performance in production environments. KEY SKILLS REQUIRED To excel as a MachineLearning Operations (ML Ops) Engineer, candidates must possess a unique blend of technical expertise, problem-solving capabilities, and collaborative skills. This role requires proficiency in managing machineMore ❯
ML OPs Engineer Luton/Hybrid COMPANY When it comes to innovation and achievement there are few organisations with a better track record. Join us and you’ll be able to play a big part in the success of our highly successful, fast-paced business that opens up Europe so … over 80 million passengers a year, we employ over 13,000 people. Its big-scale stuff and we’re still growing. JOB PURPOSE The ML Ops Engineer acts as the backbone of machinelearning operations, bridging the gap between research and production. They collaborate with teams across the … solutions and work with engineers to maintain optimal performance in production environments. KEY SKILLS REQUIRED To excel as a MachineLearning Operations (ML Ops) Engineer, candidates must possess a unique blend of technical expertise, problem-solving capabilities, and collaborative skills. This role requires proficiency in managing machineMore ❯
Job Description: Arm's MachineLearning Group is seeking highly motivated and creative Software Engineers to join the Cambridge-based ML Content, Algorithms and Tools team! This MachineLearning Engineer role focuses on advancing the field of AI by optimizing and deploying pioneering models, particularly Large … optimizing software and hardware, developing innovative solutions, and collaborating with teams to build high-performance AI systems. Responsibilities: Your responsibilities involve working with major ML frameworks (PyTorch, TensorFlow, etc.) to port and develop ML networks, optimize and quantize models for efficient execution on Arm platforms, and help ensure multiple Arm … Tensorflow Lite • Experience of developing and maintaining CI/testing 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 machinelearning projects • Experience with deployment optimizations on machineMore ❯
DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machinelearning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one. DataVisor's … many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machinelearning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results driven. Come join us! Summary: As platform engineers, we are … building a next-generation machinelearning platform, which incorporates our secret sauce, UML (unsupervised machinelearning) with other SML (supervised machinelearning) algorithms. Our team works to improve our core detection algorithms and automate the full training process. As complex fraud attacks become more More ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
Adecco
Job Title: MachineLearning Research Scientist Location: Cambridge/Hybrid Salary: £depending on experience + benefits Company Overview: Our client is a pioneering machinelearning and artificial intelligence software house, renowned for developing some of the most advanced technologies in the AI domain. The team is … of mathematicians, engineers, and is led by experienced entrepreneurs known for creating award-winning tech companies. Job Description: We are seeking a highly skilled MachineLearning Research Scientist to join our innovative team. The ideal candidate will have a PhD in a mathematical, scientific, engineering, or computing subject … strictest confidence, and we will always speak to you before discussing your CV with any potential employer. Keywords: PhD, AI, Cambridge, Adecco, LLM, NLP, MLMore ❯
Chelmsford, Essex, United Kingdom Hybrid / WFH Options
BAE Systems (New)
mining, knowledge graphs and/or graph machinelearning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should … have existing skills in MachineLearning (ML), will need to be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development. Candidates will also have the opportunity to mix technical challenges with customer-facing and project support tasks. In … mining, knowledge graphs and/or graph machinelearning and with a vision on how to develop solutions for practical applications of ML in these domains. Typical Responsibilities: Propose and lead novel research in given topic areas, often in partnership with leading UK Universities. Lead technical delivery of More ❯
ROLE OVERVIEW: We are currently looking for a MachineLearning Scientist to join a leading pharmaceutical company based in the Cambridge area. As the MachineLearning Scientist, you will be responsible for driving the development of innovative machinelearning methods for structure-based drug … duties as the MachineLearning Scientist will be varied however the key duties and responsibilities are as follows: 1. Design and implement ML models for structure-based design, including protein-ligand interaction modelling and co-folding applications. 2. Develop and extend AI approaches that integrate structural and chemical … experience in machinelearning, including deep learning and/or generative models. 3. A working knowledge and practical experience with modern ML frameworks (e.g., PyTorch, TensorFlow, or JAX). Key Words: MachineLearning/Drug Discovery/Computational Chemistry/Structural Biology/AI Techniques More ❯
ROLE OVERVIEW: We are currently looking for a MachineLearning Scientist to join a leading pharmaceutical company based in the Cambridge area. As the MachineLearning Scientist, you will be responsible for driving the development of innovative machinelearning methods for structure-based drug … duties as the MachineLearning Scientist will be varied however the key duties and responsibilities are as follows: 1. Design and implement ML models for structure-based design, including protein-ligand interaction modelling and co-folding applications. 2. Develop and extend AI approaches that integrate structural and chemical … experience in machinelearning, including deep learning and/or generative models. 3. A working knowledge and practical experience with modern ML frameworks (e.g., PyTorch, TensorFlow, or JAX). Key Words: MachineLearning/Drug Discovery/Computational Chemistry/Structural Biology/AI Techniques More ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
Speechmatics
At Speechmatics, we are searching for a Director of MachineLearning to help us push the boundaries of applied AI and transform how the world interacts with voice technology. As pioneers in machinelearning for speech, our mission is to Understand Every Voice-a vision that … steer our innovation in Conversational AI and guide us on the path to achieving and surpassing the "Speech-first Turing Test." As Director of ML, this is your chance to make an impact on a global scale. You will lead and inspire world-class teams of researchers and machinelearning engineers, driving breakthroughs that will shape the future of AI-driven speech technology. What you'll be doing: Shape and articulate a forward-looking vision for MachineLearning at Speechmatics, aligning research priorities with our ambitious product roadmap. Identify and execute high-impact research opportunities More ❯
Chelmsford, Essex, United Kingdom Hybrid / WFH Options
BAE Systems Applied Intelligence
Job Title: Research Scientist - AI & ML BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most … mining, knowledge graphs and/or graph machinelearning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should … have existing skills in MachineLearning (ML), will need to be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development. Typical Responsibilities: Propose and lead novel research in given topic areas, often in partnership with leading UK Universities. More ❯
environment that encourages equality, innovation, and professional growth. Our client is a cutting-edge biotech company based in Cambridge, UK, leveraging artificial intelligence and machinelearning to revolutionize drug discovery and therapeutic development. They are at the forefront of integrating computational approaches with biological systems to accelerate research … Interpret and visualize AI-driven predictions to guide experimental design and decision-making. Stay up to date with the latest advancements in AI/ML and computational biology, contributing to internal knowledge-sharing and innovation. Requirements PhD or MSc in MachineLearning, Computational Biology, Bioinformatics, Computer Science, or … particularly in deep learning, probabilistic modeling, and/or NLP. Proficiency in programming languages such as Python, R, or Julia, with experience using ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with biological datasets such as genomic, transcriptomic, proteomic, or imaging data. Experience working with large-scale datasets More ❯
MachineLearning Engineer (Contract) - £550/£600 PD (Inside IR35) An excellent opportunity has arisen with a global brand for a Contract MachineLearning Engineer. This role focuses on natural language processing and network analysis, leveraging open-source software in a highly collaborative environment. You'll … contribute to building, maintaining, and enhancing their data science capabilities within the organization. Role and Responsibilities: Design, develop, and evaluate machinelearning models, with a focus on natural language processing Translate business challenges into data science solutions and communicate complex findings to stakeholders Collaborate in a cross-functional … team by sharing ideas, conducting code reviews, and enhancing internal data science tools Identify opportunities where machinelearning can support data-driven decision making Foster a diverse and inclusive culture by working across departments and contributing to knowledge sharing Essential Skills & Experience: Strong proficiency in Python and Graph More ❯
Cambridge, England, United Kingdom Hybrid / WFH Options
Adecco
Job Title: MachineLearning Research Scientist Location: Cambridge/Hybrid Salary: £depending on experience + benefits Company Overview: Our client is a pioneering machinelearning and artificial intelligence software house, renowned for developing some of the most advanced technologies in the AI domain. The team is … of mathematicians, engineers, and is led by experienced entrepreneurs known for creating award-winning tech companies. Job Description: We are seeking a highly skilled MachineLearning Research Scientist to join our innovative team. The ideal candidate will have a PhD in a mathematical, scientific, engineering, or computing subject … university, with an outstanding academic background and the highest pass marks. Key Responsibilities: * Conduct cutting-edge research in the fields of Computer Vision, Deep Learning, MachineLearning, Artificial Intelligence, or Natural Language Processing. * Develop and implement advanced machinelearning models and algorithms. * Work with large More ❯
University Assistant Professor in MachineLearning 2025-02-26 Cambridge The successful candidate will contribute to research and teaching in Information Engineering, developing an independent research portfolio, securing grants, and mentoring students. Teaching responsibilities span all four years of the undergraduate MEng program, with a focus on 3rd … and 4th-year modules in machinelearning, computer vision, and probabilistic modeling, as well as opportunities to teach and supervise graduate students. Research: The candidate will be expected to contribute to the research and teaching within Information Engineering. Assistant Professors are expected to develop their own research portfolio … undergraduate course, with an emphasis on 3rd and 4th year Information Engineering modules. The successful candidate can expect to contribute to courses related to machinelearning and/or computer science, such as the 3rd year module in Inference (3F8), and 4th year modules in Deep LearningMore ❯
Permanent £55,000 - £85,000 Hybrid Cambridgeshire, United Kingdom Updated on: 14-04-2025 ROLE OVERVIEW: We are currently looking for a MachineLearning Scientist to join a leading pharmaceutical company based in the Cambridge area. As the MachineLearning Scientist, you will be … responsible for driving the development of innovative machinelearning methods for structure-based drug discovery. KEY DUTIES AND RESPONSIBILITIES: Design and implement ML models for structure-based design, including protein-ligand interaction modelling and co-folding applications. Develop and extend AI approaches that integrate structural and chemical data … industry experience in machinelearning, including deep learning and/or generative models. A working knowledge and practical experience with modern ML frameworks (e.g., PyTorch, TensorFlow, or JAX). Key Words: MachineLearning/Drug Discovery/Computational Chemistry/Structural Biology/AI Techniques More ❯
play a crucial role in maturing and scaling our machinelearning infrastructure and processes, ensuring the reliability, scalability, and performance of our ML models in production. This role requires a strong background in MLOps principles, cloud technologies (AWS), and a passion for building robust and efficient systems. You … will collaborate closely with data scientists, engineers, and product teams to deliver high-quality ML solutions that directly impact our business. The mission of the Data Science Team is critical for the continuous development and success of our product, understanding the needs of our customers and partners, and maintaining DailyPay … management of machinelearning models. How You Will Make an Impact: Design and Implement MLOps Solutions: Design and implement scalable and efficient ML pipelines and workflows, encompassing model training, deployment, monitoring, and retraining. Contribute to the development and implementation of MLOps best practices Cloud Infrastructure Management: Manage and More ❯
play a crucial role in maturing and scaling our machinelearning infrastructure and processes, ensuring the reliability, scalability, and performance of our ML models in production. This role requires a strong background in MLOps principles, cloud technologies (AWS), and a passion for building robust and efficient systems. You … will collaborate closely with data scientists, engineers, and product teams to deliver high-quality ML solutions that directly impact our business. The mission of the Data Science Team is critical for the continuous development and success of our product, understanding the needs of our customers and partners, and maintaining DailyPay … management of machinelearning models. How You Will Make an Impact: Design and Implement MLOps Solutions: Design and implement scalable and efficient ML pipelines and workflows, encompassing model training, deployment, monitoring, and retraining. Contribute to the development and implementation of MLOps best practices Cloud Infrastructure Management: Manage and More ❯
play a crucial role in maturing and scaling our machinelearning infrastructure and processes, ensuring the reliability, scalability, and performance of our ML models in production. This role requires a strong background in MLOps principles, cloud technologies (AWS), and a passion for building robust and efficient systems. You … will collaborate closely with data scientists, engineers, and product teams to deliver high-quality ML solutions that directly impact our business. The mission of the Data Science Team is critical for the continuous development and success of our product, understanding the needs of our customers and partners, and maintaining DailyPay … management of machinelearning models. How You Will Make an Impact: Design and Implement MLOps Solutions: Design and implement scalable and efficient ML pipelines and workflows, encompassing model training, deployment, monitoring, and retraining. Contribute to the development and implementation of MLOps best practices Cloud Infrastructure Management: Manage and More ❯
play a crucial role in maturing and scaling our machinelearning infrastructure and processes, ensuring the reliability, scalability, and performance of our ML models in production. This role requires a strong background in MLOps principles, cloud technologies (AWS), and a passion for building robust and efficient systems. You … will collaborate closely with data scientists, engineers, and product teams to deliver high-quality ML solutions that directly impact our business. The mission of the Data Science Team is critical for the continuous development and success of our product, understanding the needs of our customers and partners, and maintaining DailyPay … management of machinelearning models. How You Will Make an Impact: Design and Implement MLOps Solutions: Design and implement scalable and efficient ML pipelines and workflows, encompassing model training, deployment, monitoring, and retraining. Contribute to the development and implementation of MLOps best practices Cloud Infrastructure Management: Manage and More ❯
play a crucial role in maturing and scaling our machinelearning infrastructure and processes, ensuring the reliability, scalability, and performance of our ML models in production. This role requires a strong background in MLOps principles, cloud technologies (AWS), and a passion for building robust and efficient systems. You … will collaborate closely with data scientists, engineers, and product teams to deliver high-quality ML solutions that directly impact our business. The mission of the Data Science Team is critical for the continuous development and success of our product, understanding the needs of our customers and partners, and maintaining DailyPay … management of machinelearning models. How You Will Make an Impact: Design and Implement MLOps Solutions: Design and implement scalable and efficient ML pipelines and workflows, encompassing model training, deployment, monitoring, and retraining. Contribute to the development and implementation of MLOps best practices Cloud Infrastructure Management: Manage and More ❯
play a crucial role in maturing and scaling our machinelearning infrastructure and processes, ensuring the reliability, scalability, and performance of our ML models in production. This role requires a strong background in MLOps principles, cloud technologies (AWS), and a passion for building robust and efficient systems. You … will collaborate closely with data scientists, engineers, and product teams to deliver high-quality ML solutions that directly impact our business. The mission of the Data Science Team is critical for the continuous development and success of our product, understanding the needs of our customers and partners, and maintaining DailyPay … management of machinelearning models. How You Will Make an Impact: Design and Implement MLOps Solutions: Design and implement scalable and efficient ML pipelines and workflows, encompassing model training, deployment, monitoring, and retraining. Contribute to the development and implementation of MLOps best practices Cloud Infrastructure Management: Manage and More ❯
play a crucial role in maturing and scaling our machinelearning infrastructure and processes, ensuring the reliability, scalability, and performance of our ML models in production. This role requires a strong background in MLOps principles, cloud technologies (AWS), and a passion for building robust and efficient systems. You … will collaborate closely with data scientists, engineers, and product teams to deliver high-quality ML solutions that directly impact our business. The mission of the Data Science Team is critical for the continuous development and success of our product, understanding the needs of our customers and partners, and maintaining DailyPay … management of machinelearning models. How You Will Make an Impact: Design and Implement MLOps Solutions: Design and implement scalable and efficient ML pipelines and workflows, encompassing model training, deployment, monitoring, and retraining. Contribute to the development and implementation of MLOps best practices Cloud Infrastructure Management: Manage and More ❯
play a crucial role in maturing and scaling our machinelearning infrastructure and processes, ensuring the reliability, scalability, and performance of our ML models in production. This role requires a strong background in MLOps principles, cloud technologies (AWS), and a passion for building robust and efficient systems. You … will collaborate closely with data scientists, engineers, and product teams to deliver high-quality ML solutions that directly impact our business. The mission of the Data Science Team is critical for the continuous development and success of our product, understanding the needs of our customers and partners, and maintaining DailyPay … management of machinelearning models. How You Will Make an Impact: Design and Implement MLOps Solutions: Design and implement scalable and efficient ML pipelines and workflows, encompassing model training, deployment, monitoring, and retraining. Contribute to the development and implementation of MLOps best practices Cloud Infrastructure Management: Manage and More ❯