101 to 125 of 1,208 Machine Learning Jobs in England

Software Engineering role and will also require the ability to research and develop new solutions to complex problems. ILASP specialises in developing logic-based machine learning systems. Compared to other forms of machine learning, the main advantage of logic-based systems is that the learned concepts … explainable. We currently hold research contracts both with the UK military and with UK universities, in which we are leading research into logic-based machine learning and its applications. Our projects are diverse in nature, both in terms of their domains and in terms of the tools being … in meetings and demonstrations with customers. · Ensuring that deadlines for the deliverables of your projects are met. What we are looking for: Logic-based Machine Learning is a specialised area, and we do not necessarily expect previous experience in this area; much more important is your willingness to more »

and the wider team. You will be engaging senior stakeholders, planning and leading multiple projects relating to the ongoing development, maintenance and monitoring of machine learning models for Climate Change and Financial Crime. The role will require deep understanding of different machine learning techniques, and capability … relevant statistical techniques and adhering to current modelling standards and validation regulation. You will also support the wider Retail Financial Risk Modelling to embed machine learning into models. You’ll need to plan effectively and prioritise activities, to ensure your team are working on several business-critical activities … engage and communicate with the wider business on developments/enhancements and how they will impact business decisions. Coach and develop your team in machine learning modelling. About you To be successful in this role you will: Have experience in delivering innovative and creative data science/advanced more »

to the deployment of NLP/LLM's! Your day-to-day responsibilities will include: You will be responsible for designing, implementing, and maintaining Machine Learning Models to address business requirements. You will actively engage with software throughout the entire development lifecycle. You will conduct experiments with various … performance, and make informed solution selections. Conduct comprehensive work spanning the entire data lifecycle, including data exploration, data pipeline development, insights and feature extraction, machine learning model creation, and deployment. Collaborate on consulting-style pilot projects aimed at helping clients gain a deep understanding of their data and … identifying problems that can be addressed through the platform. Collaborate closely with data scientists and data engineers to construct and implement machine learning models. Take an active role in leading team meetings and client workshops. Assist in establishing software engineering standards for the machine learning engineering more »

Job DescriptionMachine Learning Infrastructure EngineerPermLondon office 4 days per week Can offer sponsorship and relocationUp to £200KA YC-based start-up building the next-generation of helpful and honest AI is looking for a Machine Learning Infrastructure Engineer to join their founding team.They are looking for people … with skills directly linked to creating and managing high-performance computing (HPC) clusters across GPU/TPU chips + serving large machine learning models at scale. Not 1-10 GPU's but 1000's. You will also set up the hardware/infrastructure/the physical clusters that … allow the training models to train on.The role:Develop the core inference engine used to serve large machine learning models.Contribute significantly to the internal automated pipeline enabling high throughput training runs and rapid experimentation.Collaborate in defining and steering their evolving inference and training stack working with researchers, founders more »

In this role, you will play a pivotal role in designing, implementing, and maintaining the robust infrastructure required to power their advanced AI and machine learning workflows. Collaborating closely with their multidisciplinary team, you will contribute to building scalable, resilient, and distributed systems that drive the success of … clean, efficient code in Python for various components of the AI infrastructure. Design and deploy scalable and resilient infrastructure solutions to support AI and machine learning initiatives. Manage and optimise data pipelines, storage systems, messaging frameworks and computing resources for efficient data processing and analysis. Integrate machine … required for this exciting opportunity, please submit your CV today! Keywords: AI Engineer, AI Infrastructure Engineer, Python, PostgreSQL, Blockchain, RabbitMQ, Cassandra, AI, Artificial Intelligence, ML, Machine Learning, LLM BeTechnology Group Limited is acting as an Employment Agency in relation to this vacancy. more »

MLE Engineer - Azure SR2 is recruiting for one of the UK's leading AI companies and looking for a Machine Learning Engineer (MLE) on an … outside IR35 contract basis. Responsibilities: Building software and infrastructure that leverages Machine Learning Creating reusable, scalable tools to enable better delivery of ML systems Improving existing systems to enable more scalable, reliable, and maintainable ML systems Working with our customers to help understand their needs Working with data … of cloud architecture, system design, security, and deployment Understanding of and interest in the full machine learning lifecycle, including deployment of trained ML models using common frameworks (Scikit-learn, TensorFlow, PyTorch) and ideally Azure managed ones (Azure ML Workspace, Azure ML Studio) Experience in Software Engineering including programming more »

looking for a Senior Machine Learning Engineer to join our new Knowledge Enrichment team at BenchSci. You will help design and implement ML-based approaches to analyse complex biomedical data such as experimental protocols and results from several heterogeneous sources, including both publicly available data and proprietary internal … discovery of high value implicit relationships, predicting novel insights/hypotheses. You will collaborate with your team members in applying state of the art ML and graph ML/data science algorithms to this data. You are comfortable working in a team that pushes the boundaries of what is possible … with cutting edge ML/AI, challenges the status quo, is laser focused on value delivery in a fail-fast environment You Will: Analyse and manipulate a large, highly-connected biological knowledge graph constructed of data from multiple heterogeneous sources, in order to identify enrichment opportunities and strategies. Work with more »

Job DescriptionGraduate Machine Learning Engineer – Machine Learning Engineer - IOT MLA Cambridge University spin-out are looking for Top-tier academic Graduate (or up to 5 years’ experience) developers to join their award-winning start-up.My client works within the IOT sector and you will have the … opportunity to use Machine Learning techniques to solve real-time problems! We are looking for candidates with;· A STEM degree from a Top-tier University· Strong programming skills (C/C++, Java, Javascript or Python)· Problem solving skillsA strong salary and the opportunity to work alongside some of more »

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 »

Job DescriptionMachine Learning Engineer Location: LondonJob Type: Full-timeExperience: 3+ yearsSalary … K The Developer Link have partnered with a diverse, London based, Health Tech start-up to assist in their search for a ML to work with them on their innovative AI tools. About the Role:The successful candidate will be responsible for developing and deploying machine learning models … automate and optimize healthcare provider processes.Experience: - Master's degree or PhD in Computer Science, Statistics, or a related field with a strong emphasis on machine learning.- 3+ years of experience developing and deploying machine learning models in a production environment - ideally in a start-up or scale 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 »

Lead Machine Learning Engineer - Full Time On behalf of our Biotech client, we are recruiting for a Lead Machine Learning Engineer. This position has come live due to company growth and the client is looking for a highly technical Machine Learning expert to join … them who have experience with the following... Proven Leadership experience in a highly technical environment Extensive Python experience skilled with deep learning frameworks (e.g PyTorch and TensorFlow) Excellent problem solving, analytical and communication skills. Experienced with MLOps tooling Strong knowledge with Computer vision models Bachelors, Masters or PhD program more »

algorithms for Oxa Driver. In This Role You Will Be Working with primarily camera based imaging sensors, in addition to LIDAR, radar Working alongside Machine Learning and C++ engineers to implement algorithms on-vehicle Working closely with and support Stream Lead in developing and maintaining technical roadmaps to … need to succeed: Knowledge and experience of State-of-the-art techniques for Action Intent Recognition, ideally for Road Users Experience developing and training Machine Learning/Deep Learning algorithms with frameworks such as Tensorflow/Pytorch Proficiency in Python with associated data processing/machine learning toolkits (Numpy, Scipy, Tensorflow/PyTorch, Jupyter notebooks, etc) Able to collaborate closely with internal and external teams and build trust Strong technical acumen and passion for learning Coordination of people and milestone tracking Proactive problem solver with strong analytical skills Excellent communication and organisational abilities 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 »

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 »

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 »