101 to 125 of 1,181 Machine Learning Jobs in the UK

Machine Learning Quantitative Researcher A market-leading global hedge fund is looking for a Machine Learning Quantitative Researcher … to join their renowned team. Having full ownership of greenfield projects focused on generating PnL with machine learning through the application of ML algorithms in sophisticated coding solutions. Work at the forefront of the implementation of deep learning in the trading space with immediate returns on your … and entrepreneurial environment with great opportunities for career progression. Responsibilities: Apply the rigorous scientific method and methods such as NLP, neural networks and deep learning to develop sophisticated trading models across multiple asset classes that inform highly profitable trading strategies. Work with an elite group of software and data more »

Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. As the Software Development Manager for the ML Applications - Multi-modal team, you will be responsible for leading a strong team of engineers to help design and deploy ML applications/usecases on … support for the multi-modal models such as MM-GPT, CLIP, BLIP2 etc. Develop reliability/scalability features and performance optimizations in the Neuron ML Framework components to enable them make Trainium and Inferentia devices as the first-class citizens for ML Acceleration. Lead the way to ensure support for … key ML functionality in a combined chip/software platform. Ensure the right thing is being built and delivered to customers A successful candidate will have an established background in optimizing Machine Learning framework components along-with a strong technical ability to work/deliver on a vertically more »

Machine Learning Engineer - up to £110,000 - Hybrid Working London I am currently partnered with a data-driven technology scale-up who are looking to add experts to the machine learning team! The best-matched machine learning engineer will have the following experience and more »

Machine Learning Scientist Location: London/1 day per week from home Salary: Circa 140K 165K + Benefits Machine Learning Scientist required by fast-growing, Top Tech Company building state-of-the-art deep learning models! This is a varied, challenging role where youll lead … the development and ownership of pioneering research projects in categorical deep learning, from conceptualisation to execution Essential: PhD in Computer Science, Mathematics, or similar discipline At least 2yrs of industrial or academic work post PhD Proven track record of research published in top-tier conferences (e.g. NeurIPS, ICML, ICLR … architectures and a strong interest in category theory or type theory Industrial or academic experience leading a research/technical team, and implementing novel machine learning architectures Tremendous opportunity offering plenty of scope for career progression in a friendly, innovative environment where youll be able significant contributions to more »

Machine Learning Scientist Paying up to £110,000 Bristol Office (flexible approach to office time – someone commutable would be ideal) VC Backed AI Start-up – Biotechnology La Fosse have partnered with a cutting edge Bio-Tech AI Start-up, who are currently hiring for a Machine Learning … be pivotal in advancing the development of the AI models, contributing to research, methodology development, data enhancement, and collection. Requirements: Strong educational background in ML or related topic, with a PhD and publications. Strong experience with Python. Cloud infrastructure is beneficial (Ideally GCP but AWS and Azure is fine). … Knowledge of ML libraries (TensorFlow, PyTorch, NumPy, and Pandas etc). Knowledge of Computer Vision. Nice-to-Have Skills or Background: Experience in genomics or bioinformatics research projects in an academic, pharmaceutical, or biotechnology setting. If you’re interested in this role, please apply through the advert to find out more »

contribute fully to our purpose. Reporting to the VP of Research, you’ll have the opportunity to work with state-of-the-art Deep Learning technology to develop creative solutions to exciting, challenging and industry-defined problems. How you’ll make an impact: Take ownership of research areas in … computer vision, machine learning and biometrics with high degree of autonomy tackling new, as yet, unsolved industry problems Work with our developers to see the products of the research turned into production code Collaborate with the research team on best solutions Communicate research outcomes across the company Contribute … broader research strategy of the company Challenge the status quo of the existing solutions You will work with a diverse team of AI and machine vision specialists, applying state-of-the-art Machine Learning and Deep Learning techniques to develop original solutions to world wide problems. more »

Machine Learning Engineer Remote Position DeepRec.ai are hiring for a talented Machine Learning Engineer to join a fantastic organisation on the East Coast who are using AI to transform and improve the clinical workflow. This is an innovative and inspiring organisation who have specific clinical tasks … strategic abilities. This will be an exciting journey to build their AI practice and a team around you. Required Skills: Building cloud and native machine learning architecture with: LLamaIndex, HuggingFace, SentenceTransformers, PyTorch, Python, Apache Spark. Experience with practical application of AI and scaling AI with these tools Experience more »

Machine Learning Engineer Up to £75 000 London Company: This company is a global creative consultancy that partners with huge companies such as Mastercard, SAMSUNG, Mercedes, and Virgin Media! They are looking for a Senior Data Scientist to join their team, who has a great generalist background to … work on a variety of exciting projects as a senior member of the team. Responsibilities: Build machine learning models utilising CI/CD pipelines, MLFlow, Kafka, and Kubernetes. Developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. Working with a team of highly skilled Data Engineers …/CD. How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, CI/DC, MLFlow, Kafka, Kubernetes, Consulting, Constancy more »

domains by applying your technical, analytical, and research skills. You will understand the underlying biology and engineering problems and follow the latest developments in machine learning and classical modelling algorithms to identify and harness the right technologies to solve the problems, improve the existing solutions and deploy them. … improvement and maintenance for industrialised solutions. Keywords: Computational molecular Physics, Structural Biology, Computational Chemistry, Protein Interactions, Protein Design, Molecular Dynamics, Monte Carlo, Enhanced Sampling, Machine Learning, Deep Learning, Statistics, Data Science Responsibilities Design, implement and deliver complex pieces of research in the area of computational molecular physics …/biology. Implement and test pioneering enhanced sampling methods and free energy calculation techniques that leverage and supplement machine learning approaches. Communicate and collaborate with research engineers in a multi-functional team to integrate simulation-based solutions into drug discovery platforms and ensure they are robust, maintainable and more »

MLOps Engineer into their team. This company are looking for an experienced MLOps Engineer to play a key role in optimizing and scaling our machine learning operations. The successful candidate will work closely with the data scientists, software engineers, and IT professionals to deploy, manage, and monitor machine … deployment. Implement monitoring and alerting systems to ensure the performance and reliability of deployed models. Optimize infrastructure and resources to support scalable and efficient ML operations. Stay current with industry trends and best practices in ML Ops and recommend improvements to existing processes. Provide technical support and troubleshooting for ML … related issues. Requirements: Bachelor’s degree in computer science, Engineering, or related field; advanced degree preferred. 2+ years’ experience in ML Ops, DevOps, or a related field. Solid understanding of machine learning concepts and techniques. Proficiency in programming languages such as Python, Java, or Scala. Experience with cloud more »

At AXA, we're transforming the customer “insurance claim” journey by deploying machine learning models so that we get faster and improved decision making at key interaction points. This role is essential to the Advanced Claims Analytics programme that is driving this change. Specifically, this programme is designed … decision making into the culture and way of working in Claims. It will deliver significant indemnity savings, efficiency benefits and improved customer outcomes using machine learning. As a Data Scientist within the Claims Analytics team, you'll be building end-to-end data science solutions that directly benefit the … events. What you'll be doing: Scope out the business problem and proving value via Exploratory Data Analysis to demonstrate the value of an ML approach. Create and productionise machine learning models using python, ML libraries, and Databricks. Process large scale data from our data lakehouse. Apply MLOps more »

BioAI Machine Learning Research Engineer (Mid-Senior Level) Location: London or Paris Hybrid Working Salary: London £60-95k depending on experience & Paris Euros 55-75k NO SPONSORSHIP AVAILABLE, SORRY Join a Global AI Solution company as they go through their next phase of growth! Our client … across the MRNA or Histology space (you must have experience in one of these areas). You will look at the latest development within ML and design and deliver these across ML and Neural Network Methodologies. You will be involved in data analysis and statistical modelling. You will be writing … premise and into the cloud. Skills : Experience either within the MRNA or Histology space Degree educated within a relative subject across STEM or Biology Machine Learning across LLM/NLP or Computer Vision Strong python engineering End o end machine learning pipeline experience Please get in more »

Founding Machine Learning Engineer Perm/full time London office 4 days per week Can offer sponsorship and relocation Up to £200K Significant equity for first joiners A YC-backed start-up in AI safety, is looking for a Machine Learning Engineer to join their founding … multi-instance clusters for data and model parallel training across GPUs/TPUs, preferably using PyTorch and Kubernetes. Proficiency in efficient serving of large machine learning models at scale, including quantisation and distributed computing. General: Keen interest in AI and AI safety Can demonstrate you can work in … call) you will be asked to answer at least one of the below questions: Describe your experience in creating/managing HPC clusters for ML models. What tools did you use? Describe how you have efficiently served large ML models at scale. Highlight any specific techniques or libraries used. Pleas more »

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 »

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 »

is building a world class voice system that is used by millions of Roku users. The Roku Voice team is looking for ambitious experienced machine learning engineers with a background in one or more of the following areas: artificial intelligence, natural language understanding, machine learning, automated … world class team. What you'll be doing Design and develop software and algorithms for Roku’s state of the art voice system Using machine learning expertise, design and develop software components … for high availability and high performance cloud solutions End-to-end responsibility from developing a proof of concept to production You have a strong ML programming background with a lot of hands-on experience in building large scale production systems You have a strong algorithmic background and like intellectual challenges 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 »