76 to 100 of 689 Machine Learning Jobs in London

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 »

is self-sufficient and fully responsible for design, development, testing, delivery, and support of the solutions. The candidate will be working across the full ML development lifecycle: data wrangling, model build, model evaluation, model deployment and model monitoring. The candidate will actively participate in these processes and will be leading … responsibilities: Lead and manage complex data science projects from conception to deployment, including defining project scope, timelines, and deliverables. Build high-performing AI/ML models that meet business-defined performance metrics, ensuring scalability, efficiency, and reliability. Develop and deploy production-ready data science code and models using fully automated … production environments, preferably cloud-based systems. Strong problem-solving skills with the ability to quickly grasp new business concepts and domains. Experience in leading ML Operations, including model deployment, monitoring, and optimization. Deep understanding of common machine learning problems and solid knowledge of mathematical foundations of ML algorithms. more »

Founding Machine Learning Engineer Previous infrastructure engineering experience is a bonus, but not essential USP's: An opportunity to be an integral member of a future AI Unicorn Exceptional leadership team and investor backing Future AI Unicorn with exceptional talent in the team Working with the brightest minds … the world's leading VC firms to help them build one of their hottest future AI Unicorn businesses building cutting-edge LLM. The Founding Machine Learning Engineer will be influential in steering the product development, the technical success, the overall growth, and mainly the culture of a future … Improved model training time by 100x, enabling the training of 10B+ parameter models from scratch. Experience in creating and managing HPC clusters for ML models Experience in efficiently serving large ML models at scale Experience serving LLM models at scale Able to produce and refine large-scale ML systems Developed 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 »

an 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 … testing, and 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 computing platforms (e.g., AWS, Azure, GCP).Strong 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 »

Job Description Senior Infrastructure Engineer (Machine Learning) Experience in HFT/Low Latency/Front Office or Quant Desks is ideal, but not essential USP's: An opportunity to be an integral member of a future AI Unicorn Exceptional leadership team and investor backing Future AI Unicorn with … s leading VC firms to help them build one of their hottest future AI Unicorn businesses building cutting-edge LLM. The Senior Infrastructure Engineer (Machine Learning) will be influential in steering the product development, the technical success, the overall growth, and mainly the culture of a future AI … Improved model training time by 100x, enabling the training of 10B+ parameter models from scratch. Experience in creating and managing HPC clusters for ML models Experience in efficiently serving large ML models at scale Experience serving LLM models at scale Able to produce and refine large-scale ML systems Developed more »

Head of Machine Learning £130k - £170k base DOE, London Are you a data scientist who has specialised in machine learning? Do you enjoy working with data that will help predict outcomes more accurately? If you know how prediction models work … and how to apply external factor information to help predict consumer behaviour then this will be for you. You will use your knowledge of ML and AI to drive this business forward, focus the data and provide better results for customers. The main aim is to add value to the … want to work for a business that is developing tech that is interesting, new and market-leading apply to find out more. Head of Machine Learning £130k - £170k base DOE, London more »

Data Engineer – Machine Learning Hybrid working - London offices We are seeking a talented Data Engineer/Machine Learning Engineer to join an established business who leverage Data and Data Science methods to effectively improve their business decision making and customers product development. The Data Engineer will … ecosystem, Deep Learning algorithms in Ecommerce or Retail environments is desirable. Responsibilities: The role will remain hands-on, so will develop AI/ML software products using Python. Collaborate with other teams and Senior level management on the ML/AI and Data Science models and projects. You will … relevant standards and procedures are met. Work to Agile best practice. Required Experience: 4+ year's commercial experience in a similar role, Data Engineer, ML Engineer, etc Extensive commercial experience with Python and relevant ecosystem; Pandas, Tensorflow, etc Commercial experience delivering AI/Machine Learning algorithms Commercial experience more »

Job DescriptionMachine Learning Engineer - Hybrid - £120KOne of our clients who are a leading technology company are seeking a Machine Learning Engineer.Offering remote working, must be located in the UK.You will have the opportunity to build machine learning models and algorithms to power services. As well … as tackle challenges relating to uses recommendation, matching, content discovery and categorisation.Skills You will have worked as a Machine Learning Engineer or similar.Experience of developing and deploying state-of-the-art recommendation algorithms using Python and relevant libraries (e.g., TensorFlow/PyTorch/Keras/etc) in the … combined with AWS and technologies such as Docker, Kubernetes, EC2, ECR, ECS, Glue, Lambda, S3, Cloud Formation, Cloudwatch etc.Have proven experience deploying models and ML pipelines at scale, including experience using AWS SageMaker and/or Google Cloud AI.Support and drive implementation of features around NLP and LLMs.Tackle challenges related more »

Job DescriptionMachine Learning | Fitness | Mobile | B2C | Python | AWSGravitas has partnered with a scaling B2C mobile app business that is on a mission to build a leading fitness training platform to hire for a Senior Machine Learning Engineer to join their team on a permanent basis.Role: Senior Machine Learning EngineerSalary: £70,000 - £85,000 (flexible depending on experience)Benefits: Equity, 25 days holiday, Private health insurance, Pension & moreLocation: London (hybrid - 2/3 days per week in office)Skills/Experience we're looking for:3+ years experience in a similar positionProficient in Python programmingPrevious experience … deploying models to production in a cloud environment (preferably AWS)End-to-end Machine Learning (Data wrangling > Model building > deployment)If this role is of interest, please apply with a copy of your up-to-date CV for review. We are meeting with the hiring team on Wednesday 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 »

scalability, and 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 scale.Deep understanding … modelling for 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 »

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 »

Job DescriptionTitle: Staff Machine Learning EngineerType: PermanentLocation: London - 2-3 days per weekSalary: £120kJoin 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. As the Staff … Scientist 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 product more »

Audio/Speech ML Research (PhD Intern) I am seeking a PhD student within the field of audio and speech machine learning research to join our client in a 6-month internship starting from summer 2024. An excellent opportunity to work on the research and software development of … in Computer Science, Mathematics or similar with strong machine learning and audio/speech fundamentals, and have first author publications in top ML/AI conferences/journals such as ICML, NeurIPS, ICLR, CVPR, SysML, INTERSPEECH, IEEE TPAMI, IEEE IoT, IEEE TNNLS, JMLR Research specialism in one of … working (3 days on-site/2 days from home weekly Interested? This is an excellent opportunity for a PHD-educated Audio/Speech ML Research Intern. Please apply now for immediate consideration and speak with Chris Wyatt who is recruiting for this position in Surrey, UK. 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 »

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 »

looking for) Overview: Are you a seasoned MLOps Engineer with a passion for AI and a track record of deploying, monitoring, and maintaining of machine learning models in production environments for optimal performance? As an MLOps Engineer, youll play a critical role in shaping and delivering cutting-edge … solutions that redefine industries and create transformative impact. What You'll Do: . Deploy and maintain machine learning models in production environments. . Implement monitoring solutions to track model performance and detect anomalies. . Collaborate with data scientists and engineers to streamline the model deployment process. . Optimize … management. What You'll Bring: . 5+ years of experience in MLOps or a related field. . Masters or higher degree in Computer Science, Machine Learning, or a related field. . Solid understanding of machine learning concepts and model deployment. . Proficiency in programming languages such more »

DATA SCIENTISTCustomer & 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 … optimisation, 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 performanceDeliver insights to drive the understanding of customers … from across the business and translate their ambitions and goals into analytical challengesExperience: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 identify more »

day ⏰ 3 months + 🏠 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 … including price optimisation, optimising media performance and spend, Computer Vision, NLP, forecasting and propensity modelling. 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 »

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 »

from advanced AI solutions which are being developed from research papers to efficiency in a wide range of project areas. Working end to end machine learning solutions you will contribute towards ongoing projects such as chatbot development, document summarisation and image generation, building products what can have an … or equivalent experience Experience in dealing with high volumes of data with excellent attention to detail and reconciliation Knowledge of a wide variety of Machine Learning and Generative AI techniques Experience of performing data manipulation and transformation to create datasets for Generative AI activity Automating analysis and applying … Working with a variety of datasets across different domains Experience with coding languages for data manipulation, such as SQL Experience with coding languages for Machine Learning model development such as Python Practical experience of developing Machine Learning/Generative AI models in a commercial or advanced more »

Job Title : Senior AI/ML Engineer Location: London/Cambridge (hybrid) Salary : £90-120k About Us: I'm currently working with an industry pioneer who are looking for an exceptional AI Engineer as they continue to build the most comprehensive AI ecosystem ever! Specialising in cutting-edge solutions … MLOps and Deployment : Apply knowledge of MLOps principles and practices to streamline the development, deployment, and monitoring of machine learning systems. Deploy ML models into production environments. Requirements : Master's or PhD in Computer Science, Engineering, or a related field. 5+ years' experience with Python with strong coding … skills Familiar with object-orientated design methodology and application development in Python Proficiency with ML, LLMs, PyTorch Experience with Transformer models and modern ML techniques Excellent communication and collaboration skills, with the ability to thrive in a fast-paced and dynamic environment. Desirable : Experience with MLOps & Docker. How to Apply more »