101 to 125 of 1,091 Machine Learning Jobs in the UK

with a variety of data sources, including CCTV cameras, IoT sensors, and third-party feeds, to aggregate and analyse real-time data. AI and Machine Learning Models: Train and fine-tune AI and machine learning models to improve the accuracy and efficiency of the platform's … Background : Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field with a focus on computer vision, AI, or machine learning. Experience: Proven experience in developing and deploying computer vision solutions in a commercial setting. Programming Skills: Proficiency in programming languages such as Python … like OpenCV, TensorFlow, or PyTorch. Algorithm Development : Strong skills in developing and optimising computer vision algorithms for object detection, tracking, segmentation, and classification . Machine Learning : Solid understanding of machine learning principles and experience in training and fine-tuning models for computer vision tasks. Data Handling more »

in conjunction with existing team.What you’ll be doing:As a Senior Data Scientist, you will be responsible for leading on the delivery of ML/AI solutions for their clients. This is an end-to-end responsibility with the following standard lifecycle:Joining business development leads on client prospecting … calls to understand and identify possible opportunities. Leading the discovery phase of ML/AI opportunities and supporting on digital transformation programmes. Workshop preparation and facilitation, requirements gathering and strategy document writing and presentation.Leading the end-to-end design, development, deployment and documentation of ML/AI models, including any … ensure optimal adoption of solution.Identification and securing of further analytical projects reared during the course of project delivery.Projects you’ll drive:Development of a ML model to predict the likelihood of customer engagement following a specific operational action for a financial services business. Development and deployment of an LLM solution more »

conjunction with existing team. What you’ll be doing: As a Senior Data Scientist, you will be responsible for leading on the delivery of ML/AI solutions for their clients. This is an end-to-end responsibility with the following standard lifecycle: Joining business development leads on client prospecting … calls to understand and identify possible opportunities. Leading the discovery phase of ML/AI opportunities and supporting on digital transformation programmes. Workshop preparation and facilitation, requirements gathering and strategy document writing and presentation. Leading the end-to-end design, development, deployment and documentation of ML/AI models, including … adoption of solution. Identification and securing of further analytical projects reared during the course of project delivery. Projects you’ll drive: Development of a ML model to predict the likelihood of customer engagement following a specific operational action for a financial services business. Development and deployment of an LLM solution more »

Title: Staff Machine Learning Engineer Type: Permanent Location: London - 2-3 days per week Salary: £120k Join us in an opportunity to lead a talented team of 5-10 machine learning engineers and data scientists in a global project at the intersection of data and sustainability. … and Team Lead, you will provide technical leadership and strategic direction to the team, designing and implementing AI solutions for sustainability. We seek a ML leader with a proven track record: 7+ years of experience leading the design, development, and deployment of complex machine learning solutions. Expertise in more »

working at the cutting edge of the latest AI developments in both hardware and software. Want to get involved? We are looking for Senior ML Compiler Engineers with experience of machine learning compilation to work on the compiler stack for our ground-breaking AI accelerators. In this role … you will: Develop the machine learning compiler stack for … Fractile’s innovative AI acceleration hardware Enable industry-leading performance of the latest LLMs on Fractile’s accelerators Work with hardware, driver runtime, and ML engineers in a highly collaborative hardware-software co-design methodology You have: Proven experience of the development of machine learning compilers using industry more »

accuracy. Stay up to date with the latest AI technologies and techniques, driving continuous innovation. REQUIREMENTS: Strong software engineering skills, with a focus on machine learning and AI. Experience deploying foundational Language Models (SLM/LLMs) in production environments. Proficiency in deploying machine learning solutions at … search, retrieval, and reranking. Ability to collaborate with various stakeholders, including backend engineers, front-end engineers, and product designers. Additional advantage for experience in ML Ops and deployment across cloud platforms (AWS, GCP, Azure). Practical experience with machine learning techniques for search and retrieval, such as Learning more »

at the cutting edge of the latest AI developments in both hardware and software. Want to get involved? We are looking for a Principal ML Compiler Engineer with demonstrated expertise in machine learning compilation to work on the compiler stack for our ground-breaking AI accelerators. In this … role, you will: Design and develop the machine learning compiler stack for … Fractile’s innovative AI acceleration hardware Enable industry-leading performance of the latest LLMs on Fractile’s accelerators Work with hardware, driver runtime, and ML engineers in a highly collaborative hardware-software co-design methodology Support and develop more junior colleagues You have: Strong experience of the development of machine more »

Are you passionate about using AI and machine learning to make a real-world impact within the world of Financial Crime? Do you thrive on solving complex problems and uncovering hidden patterns in data? Join this forward thinking Fintech, help them protect our customers from financial crimes, starting … Machine Learning algorithms and models. Monitoring with BI Tools: Use Business Intelligence tools to monitor key product metrics and the performance of ML models.Key Tasks: Fraud Detection: Access existing systems, evaluate vendor models, and create a roadmap for system improvements aimed at fraud prevention. Pattern and Irregularity Analysis … Work closely with other departments to enhance overall security and fraud detection.Requirements: Programming Proficiency: Fluency in Python with deep knowledge of statistical packages and ML/DL libraries/frameworks (e.g., Scikit-learn, NumPy, Keras/TensorFlow/PyTorch) and visualization libraries (e.g., Matplotlib, Plotly, Seaborn). Database Skills: Fluency more »

rapidly growing software company of around 20 people based near Oxford & Bicester with an office in White City, London. We are leaders in developing Machine Learning & Digital Twin software for the Aerospace, Defence and Urban Air Mobility sectors. This role is a rare opportunity to join an expanding … D projects where decisions can have a significant impact on project outcomes. You will be responsible for a wide variety of software engineering, including machine learning, digital twins and embedded software in the complete operation of autonomous drones, from logistics, drone setup and testing, mission configuration, launch, asset … of the software team in addition to leading it with your soft skills. This work will include software engineering using C++ on Linux for Machine Learning and Digital Twins, which operate on a range of drone assets, along with HTML5/JavaScript UI work as required. Requirements: You more »

Research and Development : Drive the creation and implementation of AI models for RegTech, Credit Intelligence, and Personalised Products. Develop Advanced Solutions : Build and deploy machine learning models, behavioral analytics, blockchain solutions, and predictive analytics to address key fintech challenges. Collaborate and Innovate : Work closely with cross-functional teams … Finz at industry events. Mentor and Guide : Provide leadership and mentorship to junior AI researchers and data scientists. Key Qualifications: PhD in Artificial Intelligence, Machine Learning, Computer Science, Data Science, or a related field. Extensive knowledge of machine learning algorithms, statistical methods, and AI techniques. Proficiency … as Python, R, or similar, and experience with machine learning frameworks (TensorFlow, PyTorch, etc.). Proven track record of conducting AI/ML research, with publications in top-tier conferences and journals. Familiarity with the fintech industry, including understanding of financial products, services, and regulatory requirements. Excellent written more »

of the world.Systems Integration Specialist – Job Summary:We have an exciting opportunity for a Software Developer/Engineer to work as part of a machine vision software development team. The role will involve work with customer organisations to integrate our machine vision software as machine vision engines … within computer vision workflow applications developed by customers.The successful candidate will work closely with existing machine vision specialists and software engineers developing machine vision solutions, and with customer organisations that will use machine vision engines to process large volumes of image and video data. The role will … work into practice.Contribute to the development of systems that will be core components of our machine vision, image analysis and other AI/ML products and the integration of these with customer systems.Support the work of other data scientists and developers in the team.Work with research colleagues and offer more »

proven foundation in programming (Python and SQL) and a passion for redefining data into actionable insights. Responsibilities Daily Evaluation : assess support tickets related to Machine Learning models/algorithms developed by the Data Science team. Monitoring and Maintenance : lead all aspects of alerts to ensure the ecosystem's … to-day operations and performance. Data Analysis: analyse user acquisition and retention data, identifying weaknesses and bugs in existing models for resolution. Analytics and Machine Learning : run analytics to extract statistics, patterns, and eventually craft machine learning models to improve existing technologies. Work closely with the …/wrangling, analysis, and reporting. Strong proficiency in SQL, with the ability to read, write, and query effectively. A keen curiosity about data, statistics, machine learning, and data science is essential. Strong problem-solving skills with an emphasis on product development, logical thinking, and critical analysis. Experience with more »

SCIENTIST Customer & Marketing 💰£65k 🏠 Hybrid/London 📌Work across a range of clients in retail, telco, automotive and healthcare industries 📌Deliver a range of machine learning and AI solutions to support omnichannel customer experience, personalisation and media performance 📌 Strong skills with SQL and Python required for predictive analysis … optimising media performance and spend, forecasting, propensity modelling, all to support hyper personalisation for customers. Responsibilities: Employ strong technical data science skills to build machine learning models to optimise digital customer journeys; pricing and promotions optimisation, recommenders and media campaign performance Deliver insights to drive the understanding of … across the business and translate their ambitions and goals into analytical challenges Experience: Educated to degree level in relevant subject such as Computer Science, Machine Learning, Mathematics, Statistics, Physics, Chemistry, Engineering etc. Advanced coding skills with SQL, working with large and complex data sets to extract insights and more »

S-Cube is an award-winning energy tech startup based in London. The company specializes in creating revolutionary machine learning optimization algorithms and software for the seismic industry. S-Cube's X-Wave next-generation FWI is used by major global energy companies and continues to grow rapidly. … Responsibilities Algorithm Development : Contribute to the research and development of cutting-edge machine learning algorithms and optimization techniques for seismic data processing and inversion. Data Preprocessing Pipelines : Design and implement robust data preprocessing pipelines to handle large-scale seismic datasets. Visualization and Reporting : Create insightful visualizations and reports … Python libraries: NumPy, SciPy, Pandas, SQLite etc A firm grasp of advanced undergraduate maths degree topics, in particular - Linear Algebra, Complex numbers, Optimisation theory, Machine learning Experience or demonstrable interest in audio recognition algorithms and related programming paradigms is a bonus Familiarity with Linux, AWS/GCP/ more »

working) £up to £68,000 A leading financial organisation based in London is currently looking to recruit a Data Engineer to join a growing machine learning team ideally with a strong track record of data modelling, developing, and delivering large scale data transformation project aligned with the overarching … Data Strategy. The successful data engineer will define, develop, and deliver data transformations that not only drives our Machine learning models but create more strategic transformation that delivers consistent data across the organisation for the various business needs. Key responsibilities Delivering data transformation based on the overarching data … service levels, which you'll agree with your manager - and your contribution to our commitments Working with business stakeholders and project team to identify ML and IA opportunities, and understand and capture business requirements Providing quality assurance on machine learning code developed by other team members You'll more »

of the largest Healthcare organisations across the UK! They are looking for Senior Data Scientist to join their team, working on high-impact, bespoke machine learning models as part of a high-performing team leveraging advanced analytics techniques to extract insights from complex dataset. Responsibilities: Working closely within … a team, to design and build advanced performance metrics machine learning models. Providing advice and upskilling juniors on statistical methods, healthcare and science data, products, data manipulation, and dashboarding products. Developing new data-driven solutions and approaches to support new commercial solutions and project proposals Stay actively informed … Excellent communication skills with proven experience working with stakeholders or clients Industry specific experience in either consulting or healthcare Experience building capacity and demand machine learning models. How to Apply: Register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords more »

an office in London, and while working there isn't mandatory, everyone is invited to join. Your responsibilities Join us in the role of ML Engineer and play a crucial part in developing our AI-driven knowledge management product. Your responsibilities will include: Contributing to the development of new generative … the DevOps mindset, which asserts "if you build it, you run it". Skills and experiences Must-have Solid computer sense and engineering skills. Machine learning and AI skills are layers on top of other core developer skills, so being a good software engineer is key. Skilled in … deploying machine learning solutions to production. Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. You should be able to cooperate with other engineers, e.g., with the backend engineer for scaling and architecture, with the front-end engineer for user experience, and more »

in designing, developing, and deploying GenAI solutions to solve complex problems in Human Resources business area. The candidate will have a strong background in machine learning, natural language processing, and software development, with hands-on experience in implementing GenAI technologies. Key Responsibilities Develop and Implement GenAI Solutions: Design … Train and fine-tune AI models, ensuring optimal performance and accuracy. Research and Innovation: Stay updated with the latest advancements in GenAI, NLP, and machine learning to continuously improve and innovate our solutions. Collaboration: Work closely with cross-functional teams, including software engineers, data engineers, and data analysts … Document methodologies, processes, and results. Prepare reports and presentations for stakeholders. Qualifications Education: Bachelor's or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. Ph.D. is a plus. Experience: Minimum of 10 years of experience in data science, machine learning more »

that conducts support, research, and development across diverse areas such as cloud computing, high-performance computing, algorithm development, engineering and scientific computing, artificial intelligence, machine learning, and Exascale technologies. We work at the forefront of engineering and science, ensuring fusion reactors are well understood and engineered, with our … research directly informing engineering efforts. Currently, we're seeking individuals for Artificial Intelligence & Machine Learning roles to contribute to various projects, providing software development, data analysis, and user support. You'll also engage with partners to ensure access to top facilities and assist in report preparation, actively meeting … user needs. Additional Responsibilities: - Work in a team to support development of AI and Machine Learning tools and investigate novel approaches to improve data science capabilities for experiments on JET, MAST-U and other fusion devices. - Exploit the convergence of AI and HPC at the Exascale. - Support the more »

Software Engineer/Developer A brilliant opportunity for a R&D Software Engineer/Developer with strong Python skills to work on industry-leading, machine-learning software in Cambridge, UK. Offering excellent training, career progression and prospects, this is an ideal time to join this growing organisation and … part of a team Great communication skills with fluent spoken and written English Responsibilities for R&D Software Engineer/Developer: Develop cutting-edge machine learning algorithms to understand and analyse text Innovate and create ideas to further enhance the software product Traditional project-based development You will … for an industry-leading software company who have a fantastic track record of successfully hiring and training graduates Highly interesting work developing cutting-edge, machine-learning software A good remuneration and benefits package Applications Please send an up-to-date CV via the relevant link. If you require more »

Software Engineer/Developer A brilliant opportunity for a R&D Software Engineer/Developer with strong Python skills to work on industry-leading, machine-learning software in Cambridge, UK. Offering excellent training, career progression and prospects, this is an ideal time to join this growing organisation and … part of a team Great communication skills with fluent spoken and written English Responsibilities for R&D Software Engineer/Developer: Develop cutting-edge machine learning algorithms to understand and analyse text Innovate and create ideas to further enhance the software product Traditional project-based development You will … for an industry-leading software company who have a fantastic track record of successfully hiring and training graduates Highly interesting work developing cutting-edge, machine-learning software A good remuneration and benefits package Applications Please send an up-to-date CV via the relevant link. We’re committed more »

this role, you will leverage your data science expertise to drive positive business impact, demonstrating experience in data preparation and EDA. You will use machine learning tools and statistical techniques to solve business problems and collaborate with non-technical experts to propose data-driven solutions. You will confidently … candidate will have advanced analytics and data science experience, successfully delivering data science projects. They will excel in data manipulation, statistical analysis, and implementing machine learning algorithms. Proficiency in BI tools (e.g., Oracle Analytics, Tableau), Python, and SQL is essential. Additionally, you will have stakeholder management experience and … their career. The Role: Leverage data science expertise to drive positive business impact Demonstrate experience in data preparation and exploratory data analysis (EDA) Use machine learning tools and statistical techniques to solve business problems Collaborate with non-technical experts to propose data-driven solutions Confidently present complex subjects more »

then this job is for you. You will be working within the computational team, under the guidance of the Lead Data Scientist, to develop machine learning models for understanding the fundamental rules in plant genetics. Successful projects will be highly scalable and automated across a wide range of … model, all the while having the opportunity to contribute to improving both the AI model and the laboratory processes. You will: ● Implement and test machine learning models ● Design innovative solutions for improving performance ● Maintain and contribute to the CRE.AI.TIVE TM platform ● Deploy jobs on both the cloud and … best practices ● Experience coding in a team using git version control and writing tests ● Familiarity with the Linux operating system ● Fluent in the core machine learning concepts, as well as training and optimising neural network models ● The ability to communicate complex ideas across a multidisciplinary team You get more »

We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We … you'll doTackling real world security problems that affect our customers, building & leveraging massive threat intelligence data, with the help of data science and machine learning, and finally building scalable & performant distributed software that runs on thousands of machines all over the globe. All the while making a … You will work with our global data in excess of 10 million events per second (and growing fast!), and designing and implementing software systems, machine learning platforms, and AI models to leverage the data in detecting and mitigating abusive HTTP L7 layer traffic. Tech stack includes Go, Python more »

to be partnering with a global tech leader on their search for an experienced Machine Learning Engineering Manager to lead their agile ML Engineering team here in Belfast. This team are providing word class machine learning solutions at scale to some major clients and are on … Provide strategic technical direction, support, and mentorship, fostering a culture of continuous learning and innovation. Lead the recruitment, training, and performance evaluation of ML engineers, managing teams across different regions. Establish clear objectives, deliver consistent feedback, and promote professional growth to help team members meet their goals. Encourage collaboration … quality standards, drive continuous improvement initiatives, and address any customer-related challenges. Desirable Technical Experience: Proficiency in Java, Kotlin, or Python. Experience with NLP, ML-Ops, and data pipelines. Familiarity with ML frameworks such as TensorFlow or PyTorch Strong understanding of ML algorithms, statistical techniques, and data analysis. Experience with more »