126 to 150 of 1,001 Machine Learning Jobs in England

Learning projects! As a Data Scientist, you will be part of a small team of Data Scientists working on a range of ML projects, solving commercial challenges through a variety of Machine Learning techniques. Your responsibilities as a Data Scientist will include but not be limited … to: Solve operational challenges & problems through a variety of Machine Learning techniques. Create models and products to tackle significant business challenges. Generate new metrics, reports, and dashboards using historical data, real-time data, and predictive analytics to facilitate informed business decision-making. Gather data from diverse sources to … following: Min. 2 years commercial experience as a Data Scientist Strong experience building models Strong exposure solving operational and commercial challenges through Data Science & Machine Learning. Strong stakeholder management and communication skills Preferably background in operations/operational research and solving challenges in operations. Excellent use of python and more »

Biology What You Will Be Doing in the Company As a Member of Technical Staff, you will play a crucial role in scaling up ML models across GPUs and facilitating model inference via APIs. Joining an interdisciplinary team of machine learners, protein engineers, and biologists, you will collectively work … generative models to design new functional proteins for wet lab assays. You will be responsible for enabling and optimizing large-scale model training, building ML infrastructure for heterogeneous compute infrastructure, and assisting in optimizing model training. Additionally, you will work on enabling and optimizing model inference, exposing models via APIs … enabling large-scale model training, including experience in running training and inference on cloud hardware and distributing data across accelerators. Strong background as an ML engineer with a track record of notable contributions to machine learning projects. Extensive experience as a software engineer, including architecting and engineering software more »

as this position holds massive future potential for growth. Your role will involve: Developing our web application written in Javascript and NextJS; Implementing backend machine learning and data services, and integrating them with our web application. Suggesting and leading internal tools for our team to use that will … web applications Quantitative degree from a top university The following is DESIRABLE, not essential: Experience with Node.JS to a production level Familiarity with various machine learning APIs An understanding of machine learning techniques Benefits: Making a serious impact from day one. We're an agile company more »

advanced analytics supporting our Healthcare insurance business. As the insurance industry evolves in a technologically dynamic age, Aviva is strategically investing in data science, machine learning, and advanced analytics as a distinctive capability. A bit about the job: In this role, you'll play a vital role in … align seamlessly with the objectives of each team. You will also be closely collaborating with data scientists and engineers to deploy, monitor and maintain ML models in production, as well as implement best practices for continuous integration, testing and deployment of ML models. As a leader in this domain, you … learning model development and deployment. Excellent communication and teamwork skills, capable of collaborating effectively with non-technical colleagues. Strong knowledge of Python and ML libraries (PyTorch, Tensorflow, Keras, etc.) with R/SQL knowledge, partnered with experience with MLOps tools (Kubernetes, Docker, Jenkins, etc.) would be advantageous. Strong knowledge more »

unearth valuable insights and trends. Present findings and technical concepts clearly to both technical and non-technical stakeholders through intuitive visualizations. Construct and optimize machine learning models, including Natural Language Processing (NLP) and Large Language Models (LLMs), for various use cases. Engage and collaborate with senior stakeholders across … levels. Master’s degree in Data Science, Computer Science, Statistics, or a related field. Proven experience as a Data Scientist, adept at statistical modeling, machine learning, and data mining techniques. Familiarity with machine learning algorithms and frameworks such as scikit-learn and PyTorch. Experience with core more »

detection and human pose estimation – with the application of appropriate machine learning methods, such as CNNs and ViTs, in conjunction with non-ML algorithms. Demonstrated experience using leading-edge methods for modelling human and object shape, appearance and movement. Experience providing technical leadership within teams and excellent team … Examples of working with large spatio-temporal datasets, and machine learning expertise for solving time-series domain issues. Experience delivering the full ML development lifecycle, taking systems from research prototypes through to development and production within a standalone application. Experience with Python and ML toolkits, e.g. PyTorch, Lightning more »

projects alone or with other data scientists, using analytical tools and environments to develop and deliver data science products including processing pipelines, interactive dashboards, machine learning models, as well as carrying out statistical analysis and deriving valuable insight. You will get the opportunity to work closely with customers … and business experts to scope and design the most effective and appropriate offers to solve their problems. Current and past tasks range from using machine learning to extract causality for road collision severity, to visualising and mapping insights; using computer vision AI techniques to extract information from raster … communication skills with the ability to tell compelling stories and adjust style to suit clients/stakeholders with varied technical knowledge A passion for learning new technologies and an interest in the Transportation, Environment or Energy sectors Bachelor’s degree in Computer Science, Applied Mathematics, Statistics, Engineering, or related more »

Machine Learning projects! As a Data Scientist, you will be working within a well-established of Data Scientists on a range of ML projects, solving commercial challenges through a variety of Machine Learning techniques. Your responsibilities as a Data Scientist will include but not be limited … to: Solve operational challenges & problems through a variety of Machine Learning techniques. Work within a small team of Data Scientists on commercially applicable Data Science projects. Leverage a breadth of operational Data Science techniques and models to deliver key projects for the Data Science team. Engage with business … Data Scientist will have the following: Min. 3 years commercial experience as a Data Scientist Exposure solving operational and commercial challenges through Data Science & Machine Learning. Preferably background in operations/operational research and solving challenges in operations. Minimum of BSc in STEM subject or Operational Research HOW TO more »

Machine Learning projects! As a Principal Data Scientist, you will be leading a small team of Data Scientists on a range of ML projects, solving commercial challenges through a variety of Machine Learning techniques. Your responsibilities as a Principal Data Scientist will include but not be … limited to: Solve operational challenges & problems through a variety of Machine Learning techniques. Lead a small team of Data Scientists on commercially applicable Data Science projects. Leverage a breadth of operational Data Science techniques and models to deliver key projects for the Data Science team. Mentor more junior … Scientist, including in a Senior or Lead position with mentorship/team leadership experience. Strong exposure solving operational and commercial challenges through Data Science & Machine Learning. Preferably background in operations/operational research and solving challenges in operations. Minimum of BSc in STEM subject or Operational Research HOW TO more »

Machine Learning projects! As a Principal Data Scientist, you will be leading a small team of Data Scientists on a range of ML projects, solving commercial challenges through a variety of Machine Learning techniques. Your responsibilities as a Principal Data Scientist will include but not be … limited to: Solve operational challenges & problems through a variety of Machine Learning techniques. Lead a small team of Data Scientists on commercially applicable Data Science projects. Leverage a breadth of operational Data Science techniques and models to deliver key projects for the Data Science team. Reviewing code and … with mentorship/team leadership experience. Background in core and fundamental Data Science practises Strong exposure solving operational and commercial challenges through Data Science & Machine Learning. Strong stakeholder management skills Preferably background in operations/operational research and solving challenges in operations. Minimum of BSc in STEM subject or more »

backed by 8VC, revenue-generating, and have multiple years of runway. Being part of our team means solving interesting problems at the intersection of machine learning and infrastructure. It also means committing to excellence, learning, and delivering great products to our customers in a high-velocity startup. … The role Our stack cuts across many technologies (front-end, backend, edge-computing, machine learning), and you will be responsible for a large part of our edge-computing stack powering Coram Point. This involves: Building edge applications processing vision data and communication layers for the compute-constrained edge … deployed edge computers)/infrastructure management (we use Salt)/monitoring (we use Grafana)/video processing & streaming (we use Gstreamer)/experience interfacing ML models (we use PyTorch). High intrinsic motivation to succeed and ability to work hard. What we offer £ 80-120k base Company equity % in more »

Description Higgsfield AI democratizes marketing video creation using proprietary foundational video models. Role Description This is a full-time on-site role for a Machine Learning Researcher at Higgsfield AI in the London Area, United Kingdom. Your day-to-day tasks will include training … large-scale world models and bringing them to production. Qualifications Strong software engineering skills and proficient in Python Have experience working with multi-modal ML pipelines Strong problem-solving and analytical thinking abilities Excellent communication skills and ability to work in a team Have experience of large-scale training Experience … in conducting research and implementing machine learning algorithms Master's or Ph.D. degree in Computer Science, Statistics, or related field more »

based degree to join our dynamic team in Cambridge. **Company Overview:** We are a leading technology company dedicated to innovation in data analytics and machine learning. Our mission is to transform data into actionable insights that drive strategic decisions and innovation across various industries. **Role and Responsibilities:** - Develop and … implement advanced statistical models and machine learning algorithms. - Analyse large datasets to identify trends, patterns, and correlations. - Collaborate with cross-functional teams to understand business objectives and provide data-driven solutions. - Design and maintain scalable data pipelines and architectures. - Present findings and insights to stakeholders in a clear … e.g., Computer Science, Mathematics, Physics, Statistics, Engineering). - Proficiency in programming languages such as Python, R, or Java. - Strong background in statistical analysis and machine learning techniques. - Experience with data visualisation tools (e.g., Tableau, Power BI) is a plus. - Excellent problem-solving skills and ability to work independently more »

Machine Learning Engineer Are you ready to leverage AI for unforgettable customer experiences? 🔍 We're hunting for a Machine Learning Engineer to join our pioneering team, shaping the future of customer interaction through NLP and Machine Learning Ops. Your mission? To decode customer needs … customer experiences. Dive into ground-breaking projects harnessing NLP's potential to redefine how customers engage with our offerings. Your role? Architecting and implementing ML models for personalized, context-aware, and empathetic customer interactions at scale. 🎯 Our perfect match? A ML aficionado with a knack for NLP techniques and a … salary Flexible work arrangements Opportunities for growth and advancement Dive into cutting-edge tech 🤖 Ready to shape the future of customer experiences with your ML skills? Apply below more »

approach. Operating from 26 locations across the world, we bring together teams of creative experts with diverse backgrounds and experiences, who enjoy working and learning in our collaborative and open culture and are committed to world-class delivery. We want to continue to grow our team with people just … to help businesses use artificial intelligence (AI) by understanding their needs, designing AI solutions, and implementing those solutions. BJSS AI specialists have expertise in machine learning, natural language processing, and other AI technologies. The successful candidate will provide: Expertise in machine learning, natural language processing, and … other AI technologies : possess in-depth knowledge and hands-on experience in machine learning, natural language processing (NLP), and other relevant AI technologies. Be familiar with various algorithms, frameworks, and tools used in these areas, including cloud-based AI services. This expertise enables to design, develop, and implement more »

and Inclusion: We celebrate diverse perspectives and are committed to an inclusive environment where everyone thrives. About The Job Join us as a Senior Machine Learning Engineer (LLM) and play a pivotal role in shaping AI-driven design automation. You will: Lead the development of new generative AI … Computer Science or a related field, or possessing similar practical experience. A minimum of 4 years' experience in Python, with a strong foundation in machine learning principles. Proficient in modern AI frameworks and libraries, notably PyTorch and Hugging Face. Experienced with foundational Large Language Models (LLMs) APIs in … collaborative environment. It's an advantage if you are proficient in C++ or Julia for research and production purposes. Additional advantage for experience in ML Ops and deployment across various cloud platforms (AWS, GCP, Azure). Benefits Competitive Salary: Fair and attractive compensation 💼 Equity: Significant stake in a rapidly growing more »

for a highly prestigious organisation in London, UK. Offering fantastic career progression and the chance to work on cutting-edge projects to help accelerate Machine Learning and Natural Language Processing based innovation. Location: London – Hybrid working available - 2 days a week in office Salary … Python/C++/Software Engineer/Software Developer/Coder/Programmer/Analyst/Software Engineering/Software Development/Programming/machine-learning/artificial intelligence/nodeJS/JavaScript/innovation/graduate/Ph.D. post-doc/masters/computer science/engineering … and Development Programmer/Natural Language Processing Research Engineer/NLP Algorithm Development Specialist/Language Technology Research Scientist/Computational Linguistics Engineer/Machine Learning NLP Engineer/Artificial Intelligence Language Engineer/Text Analytics Researcher/NLP Software Development Engineer/Conversational AI Research Engineer/ more »

to understand human disease and to support the development of novel antibody-based therapeutics. You will design, develop, and implement statistical, bioinformatics and advanced machine learning methods to aid in both the characterisation and design of antibodies as well as integrating large multi-modal datasets to derive quantitative … antibody function. Implement advanced statistical approaches for the analysis of large omics data sets and cross-modality data integration (E.g. un/self-supervised machine learning methods, knowledge graphs) Develop workflows for processing and analysing both in house and publicly available disease derived data sets, specifically bulk and … BCR/TCR sequencing data and/or predictive antibody/protein modelling. Significant experience working with a broad range of statistical methods, including machine learning methods. Significant experience working with multi-omics and large-scale biological datasets. Strong programming skills in key bioinformatics languages, e.g., R, Python more »

Graduate Software Engineer - Machine Learning - North London - £40,000 - £50,000 A rapidly expanding company specialising in business intelligence software based in North London are looking to bring on a Graduate Software Engineer. The company are looking at expanding into the Machine Learning and Artificial Intelligence … driven decisions. Requirements A degree in a relevant subject (ideally computer science) from a Russel Group or equivalent university A passion for AI or ML with personal projects, university projects or internships (Highly desirable) An Abundance of coding experience Apply now as interviews are currently being scheduled. Graduate Software Engineer … Machine Learning - North London more »

the FinTech space tackling issues around fraudulent activity, anti-money laundering measures, and customer authentication/identification. Significantly, the organisation has invested in an ML-driven solution to automate this process, allowing them to work at a significant scale. Despite the company's global client base and reach, you have … utilise cutting-edge LLMs within an NLP context. Responsibilities Helping to define and implement NLP-led projects within the core Product. Work with the ML Engineering team to help productionise and scale the algorithms. Mentor junior team members Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc. … Deep Learning & Machine Learning knowledge. Usage of LLMs in a commercial environment is a bonus. PyTorch experience a major bonus – other ML frameworks are also accepted. Docker & Kubernetes experience is a bonus. If this role interests you and you would like to find out more, please apply more »

have a passion for exploring cutting-edge techniques in computer vision, with strong skills in Python (C++ proficiency is a plus) and experience with machine learning frameworks such as TensorFlow or PyTorch. This role will involve conducting research and developing advanced computer vision algorithms and models, with a … camera environments. Requirements: Master’s or Ph.D. degree in Computer Science, Electrical Engineering, or a related field with a focus on computer vision or machine learning (beneficial) Strong programming skills in Python; proficiency in C++ is a plus Experience with machine learning frameworks such as TensorFlow more »

are a culture builder with a strong sense of integrity and excitement around building trusting and collaborative environments. are excited about developing cutting-edge ML solutions. … and thrive on pushing boundaries and achieving ambitious goals, we’d love to hear from you. Responsibilities Develop and refine scalable machine learning … and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing. Design and implement machine learning models to parse and learn from diverse data sets, including but not limited to textual, tabular, and graph data, optimizing for the … of Git workflows and commitment to best coding practices. Ability to leverage cloud computing environments including distributed clusters and GPUs. Demonstrated ability to deploy ML applications using containerization technologies is a bonus. Benefits Highly competitive salary. Highly competitive equity package. Bonus based on performance. 25 vacation days per year + more »

one of the most innovative companies in the LegalTech space providing advanced and market-leading intelligence services. Significantly, the organisation has invested in an ML/NLP-driven solution to automate this process, allowing them to work at a significant scale. Despite the company's global client base and reach … utilise cutting-edge LLMs within an NLP context. Responsibilities Helping to define and implement NLP-led projects within the core Product. Work with the ML Engineering team to help productionise and scale the algorithms. Mentor junior team members Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc. … Deep Learning & Machine Learning knowledge. Usage of LLMs in a commercial environment is a bonus. PyTorch experience a major bonus – other ML frameworks are also accepted. Docker & Kubernetes experience is a bonus. If this role interests you and you would like to find out more, please apply more »

and sociable environment on a variety of projects. THE ROLE As a Data Scientist for the business you will: Work on a variety of machine learning projects end-to-end to create business value, focusing mainly on time series forecasting and propensity modelling Deploy machine learning … to the business with figures to support Time-series forecasting experience would be beneficial Experience working with geospatial data would be beneficial Experience deploying machine learning models Strong communication skills & stakeholder management experience Tech: Python, SQL SALARY AND BENEFITS Basic salary £60,000 - £70,000 Hybrid working more »

generation platform. A small, dynamic team in London is revolutionizing the music industry by creating fresh and captivating songs across various genres. As a Machine Learning Engineer, you'll dive into the heart of this groundbreaking project, working on the designing and implementing of Data Pipelines, research, finetuning … possibilities as the platform extends to the Web (WASM), Android, iOS, and even virtual reality! If your passion for music harmonizes perfectly with your Machine Learning skills, this opportunity is tailor-made for you! Don't miss out on this thrilling adventure. Apply and shape the future of … in handling audio data and expertise in digital signal processing Data pipeline development skills : background in building data collection and processing pipelines Python and ML Framework Proficiency : 1+ years of hands-on experience with Python and modern ML frameworks Desirables: Experience with generative AI models : Diffusion models, GANs, VAEs, Transformers more »