1 to 25 of 186 Machine Learning Jobs in the East of England

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 machine learning 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 Machine Learning 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 machine More ❯

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 machine learning 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 Machine Learning 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 machine More ❯

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 machine learning 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 Machine Learning 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 machine More ❯

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 machine learning 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 Machine Learning 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 machine 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 … 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 machine learning projects • Experience with deployment optimizations on machine More ❯

DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning 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, machine learning, 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 machine learning platform, which incorporates our secret sauce, UML (unsupervised machine learning) with other SML (supervised machine learning) algorithms. Our team works to improve our core detection algorithms and automate the full training process. As complex fraud attacks become more More ❯

Job Title: Machine Learning Research Scientist Location: Cambridge/Hybrid Salary: £depending on experience + benefits Company Overview: Our client is a pioneering machine learning 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 Machine Learning 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, ML More ❯

mining, knowledge graphs and/or graph machine learning 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 Machine Learning (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 machine learning 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 Machine Learning Scientist to join a leading pharmaceutical company based in the Cambridge area. As the Machine Learning Scientist, you will be responsible for driving the development of innovative machine learning methods for structure-based drug … duties as the Machine Learning 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 machine learning, 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: Machine Learning/Drug Discovery/Computational Chemistry/Structural Biology/AI Techniques More ❯

ROLE OVERVIEW: We are currently looking for a Machine Learning Scientist to join a leading pharmaceutical company based in the Cambridge area. As the Machine Learning Scientist, you will be responsible for driving the development of innovative machine learning methods for structure-based drug … duties as the Machine Learning 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 machine learning, 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: Machine Learning/Drug Discovery/Computational Chemistry/Structural Biology/AI Techniques More ❯

At Speechmatics, we are searching for a Director of Machine Learning to help us push the boundaries of applied AI and transform how the world interacts with voice technology. As pioneers in machine learning 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 machine learning 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 Machine Learning at Speechmatics, aligning research priorities with our ambitious product roadmap. Identify and execute high-impact research opportunities More ❯

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 machine learning 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 Machine Learning (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 machine learning 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 Machine Learning, 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 ❯

Machine Learning Engineer (Contract) - £550/£600 PD (Inside IR35) An excellent opportunity has arisen with a global brand for a Contract Machine Learning 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 machine learning 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 machine learning 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 ❯

University Assistant Professor in Machine Learning 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 machine learning, 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 machine learning and/or computer science, such as the 3rd year module in Inference (3F8), and 4th year modules in Deep Learning More ❯

Permanent £55,000 - £85,000 Hybrid Cambridgeshire, United Kingdom Updated on: 14-04-2025 ROLE OVERVIEW: We are currently looking for a Machine Learning Scientist to join a leading pharmaceutical company based in the Cambridge area. As the Machine Learning Scientist, you will be … responsible for driving the development of innovative machine learning 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 machine learning, 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: Machine Learning/Drug Discovery/Computational Chemistry/Structural Biology/AI Techniques More ❯

Machine Learning Researcher - LLM/VLM Are you a PhD-educated Machine Learning Researcher looking for a new opportunity? If so, our client, a global consumer electronics company, is actively expanding their team. This role is based at one of their flagship AI centres in Cambridge … As a Machine Learning Researcher, you will: Work on on-device LLMs and VLMs, as well as adaptive inference methods and mobile ML systems. Conduct cutting-edge research and translate findings into practical applications, contributing to the commercialisation of AI across millions of devices. Design and develop groundbreaking … Machine Learning Researcher role, you must have: A PhD in Natural Language Processing, AI, Electrical Engineering, or a related field. Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. Strong programming skills in C++, C, or Python. Experience working with embedded or mobile devices. Ideally, 2+ years More ❯

Trainee Patent Attorney - AI, Machine Learning and Computer Science - UK based Cambridge, Bristol, London or Manchester Life as a trainee Patent Attorney means using your academic background in a stimulating and varied way. Working on innovations and inventions at the forefront of your scientific field. "Working with different … well." Lucy, Attorney At Mewburn Ellis we're collegial, supportive and progressive. With an industry-leading training programme and a rotation scheme that keeps learning fresh and insightful we ensure that you're set up to develop quickly and learn about the profession from a variety of partners from … found attorneys at Mewburn to be approachable and easy to get along with - they are really great people to learn from." Dan, Attorney AI, Machine Learning and Computer Science at Mewburn Ellis Exciting developments in AI and machine learning are driving disruptive innovation in all fields More ❯

perspectives. We are all accountable for sustaining a diverse and inclusive environment. What You Will Contribute To Altos Altos Labs is seeking a Staff Machine Learning Engineer who can accelerate and optimize our … progress in developing foundation models for biology. This role is integral to our Computational Systems Modeling & Scaling team, working in a team of experienced ML and infrastructure engineers to deliver compelling internal frameworks, services, and expertise. It will involve close collaboration with computational scientists from a diverse range of disciplines … including molecular modeling, computational biology, discrete simulation, machine learning, and artificial intelligence. Responsibilities: Designing, building, and evaluating large-scale machine learning systems including data transformation pipelines, feature stores, distributed training, architecture optimization, model management & serving, etc. Motivated to build, deploy, and manage systems to accelerate large More ❯

role will engage with primary research. The post holder, working closely with external partners and members of the EU consortium, will focus on developing machine learning applications to investigate the implications of genetic variation within noncoding functional elements in relation to cardiovascular disorders. The successful candidate will be … External: EU consortium members, consortium project managers, collaborators, visitors to EI. Innovate UK, BBSRC officers, academic and industrial stakeholders. Main Activities & Responsibilities Percentage Apply machine learning developments to annotate functional non coding sequences, reconstruct regulatory networks, and prioritise variants - 40% Collaborate with colleagues within the Horizon NextGen consortium … languages: Python, Perl, R - Essential Excellent problem-solving skills with the ability to solve problems with numerous and complex variables - Essential Experience in applying machine learning solutions for genomics investigations - Essential Requirement: Experience using machine learning applications (e.g. convolutional neural networks, recurrent neural networks) - Essential Experience More ❯

education. To power these features PROSE has developed a powerful and flexible framework for program synthesis that leverages techniques from both logical reasoning and machine learning (including LLMs) and combines them in unique ways to synthesize programs automatically. This approach has been recognized with frequent papers at top … tier conferences and awards, including best paper and test-of-time awards. We invite machine learning researchers to apply for a full-time position on the PROSE team at Microsoft. The recent success of large language models (LLMs) creates an opportunity to take a qualitative step forward, to … interact with the broader academic community. Qualifications Required Qualifications Doctorate in Computer Science or relevant field OR equivalent experience. 2+ publications in top-tier machine learning or artificial intelligence (such as AAAI, NeurIPS, ICML, ICLR, EMNLP, ACL, and comparable). Experience in training transformer-based models, including data More ❯

We are seeking a talented Machine Learning (ML) Scientist to join a groundbreaking initiative to develop Digital Twins for rare diseases. You will work within a multidisciplinary project team, across the Open Targets, Molecular Systems and Petsalaki research groups at the EMBL European Bioinformatics Institute (EMBL-EBI). … the aim of developing rare disease Digital Twins to provide new insights into disease mechanisms and potential treatments. The role involves designing and implementing ML models that integrate multi-omics data and clinically relevant endpoints, contributing to the creation of virtual patient models to simulate disease trajectories and therapeutic responses. … This is a unique opportunity to develop and apply advanced ML methodologies and significantly contribute to understanding rare disease biology, enabling applications such as diagnosis, drug repurposing, and new treatment development. Your role The ML Modeller's primary tasks include developing and applying advanced ML and GenAI frameworks to integrate More ❯

Pathology up to functional analysis In Vivo. We will enable and accelerate the Altos mission by leveraging state of the art computer vision and machine learning, and collaborating with MLOps at Altos to make all our models easily trainable, findable, interpretable, and accessible across diverse research groups. Responsibilities … performance tracking to train large models with distributed training across multiple nodes. Build, deploy, and manage multi modal analysis pipelines for scientific analysis, and machine learning workflows in an integrated, usable framework. Understand scientists' needs across a wide range of scientific disciplines by collaborating with both users and … should have relevant industry and/or academic experience. Experience with one or more programming languages commonly used for large-scale data management and machine learning, such as Python, C++, Pytorch/Tensorflow, Pytorch Lightning, etc. Previous experience with Machine Learning at scale: Large Language Models More ❯

Pathology up to functional analysis In Vivo. We will enable and accelerate the Altos mission by leveraging state of the art computer vision and machine learning, and collaborating with MLOps at Altos to make all our models easily trainable, findable, interpretable, and accessible across diverse research groups. Responsibilities … performance tracking to train large models with distributed training across multiple nodes. Build, deploy, and manage multi-modal analysis pipelines for scientific analysis, and machine learning workflows in an integrated, usable framework. Understand scientists' needs across a wide range of scientific disciplines by collaborating with both users and … should have relevant industry and/or academic experience. Experience with one or more programming languages commonly used for large-scale data management and machine learning, such as Python, C++, Pytorch/Tensorflow, Pytorch Lightning etc. Previous experience with Machine Learning at scale: Large Language Models More ❯

the Cambridge office. This role focuses on maintaining and optimising the Linux operating system, file systems, and software stack (Cuda, PyTorch, Python etc) for machine learning projects as well as setting up and configuring NVIDIA HGX servers (installing and updating software, managing user access, and ensuring optimal performance … issues, Working closely with the project manager to ensure efficient resource allocation, server utilisation and scaling across multiple teams, Collaborating with data scientists and machine learning engineers to understand their software requirements and provide guidance on best practices, Assisting in training team members on the capabilities and usage … with a startup mindset. Technology-wise, you will have experience in system administration, preferably with a focus on HPC platforms, GPU-based servers, and machine learning software environment as well as a familiarity with AI and HPC provisioning and management, both on-premises and in the cloud. You More ❯