51 to 75 of 1,169 Permanent Machine Learning Jobs in England

business at the forefront of cutting-edge technology are seeking a talented Staff Machine Learning Engineer to join one of their pioneering ML teams. In this role, you will have the opportunity to work on one of a kind projects that shape the future of the business, impacting … company continues to grow. This role is an opportunity for a Staff Machine Learning Engineer who is passionate about harnessing AI and ML to drive innovation and solve complex problems. You will shape the design of the AI systems (classical ML & LLMs) on AWS and AWS Sagemaker and … technical solutions. Utilize AWS services to design and implement robust machine learning pipelines. Research and implement state-of-the-art AI/ML algorithms to drive innovation and improve product capabilities. Mentor and coach junior team members, fostering a culture of continuous learning and growth. Demonstrate technical more »

Senior NLP Machine Learning Engineer London office x1-2 days per week £80,000 to £95,000 Salary + Bonus & Benefits OVERVIEW A great opportunity for a Senior Machine Learning Engineer/Senior NLP Engineer with solid experience in fine-tuning Large Language Models to join … a strong FinTech scale-up with a high-calibre team in place. Your responsibilities as a Senior Machine Learning Engineer will include but not be limited to: Leverage Machine Learning/NLP techniques to build Large Language Models. Fine-tune Large Language models and optimise them … an AI led culture throughout the business YOUR SKILLS & EXPERIENCE Degree in a STEM subject Min. 4 years commercial experience in NLP/Transformers & ML Excellent experience with Deep Learning models Strong production ready coding skills in Python Strong experience in fine-tuning Large Language Models End-to-end more »

hereYou are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical … ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery.The Machine … us achieve that goal by:Building software and infrastructure that leverages Machine Learning;Creating reusable, scalable tools to enable better delivery of ML systemsWorking with our customers to help understand their needsWorking with data scientists and engineers to develop best practices and new technologies; andImplementing and developing Faculty more »

City of London, London80000 - 100000 per annum + Plus Bonus and benefitsMachine Learning Engineer - MedTech - London - Hybrid Do you want to develop AI that prevents critical diseases as Machine Learning Engineer?You can make a real difference in healthcare! A Machine Learning Engineer is needed … growing team at a leading MedTech firm. The company specialises in AI-powered predictive analysis, developing groundbreaking tools to prevent critical diseases. In this Machine Learning Engineer role, you will:Build and deploy AI models to predict and prevent critical diseasesCollaborate with engineers and scientists to develop cutting … art deep learning techniquesBe an integral part of a growing team (20 to 40 people in 12 months!)Tech skills needed for this ML engineering role:Deep Neural Networks (DNN)Generative Adversarial NetworksDeep LearningDefine, evaluate and assess AI systems performanceExplore and implement state-of-the-art algorithms to keep more »

Machine Learning Engineer - Remote - 775 Outside IR35 One 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/… 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 more »

our R & D track by owning the evolution of our leading real time machine learning audio algorithms. If you are an experienced ML/AI Researcher with a strong academic background and prior experience using a variety of ML models on music, speech, or audio data give us … will include: Conducting research on deep learning applied to audio, going beyond the state of the art Evaluating and stress-testing AI/ML models to ensure they are real-world ready and suitable for production Optimising and shrinking ML models to enable them to operate with minimal memory … needs and low processor overhead in embedded environments Working with ML engineers to build exceptional real time audio deep learning algorithms Covering all aspects of modern ML workloads, including model research, implementation, training, evaluation, inference Communicating results internally with colleagues from different teams, and externally Writing internal reports and more »

Working Pattern - Hybrid 2days per week in the Vitality London Office.Full time, 37.5 hours per week. Top 3 skills needed: Delivery of high-impact machine learning projects Stakeholder management and collaboration Identification of new project opportunities What this role is all about: At Vitality, data scientists develop and … deploy machine learning models that help us realise our core purpose and achieve our ongoing business objectives. Our data scientists work on innovative applications of machine learning techniques spanning the entire value chain of our business. They work with rich datasets, and on project use cases … of more peripheral technologies (such as NLP, reinforcement learning and computer vision). Having a good grounding in the principles and technologies of ML engineering. Setting yourself apart through the breadth of your knowledge and your ability to apply it to solve the problems faced by Vitality. Proactively creating more »

technology is capable of assessing skin conditions, recommending over-the-counter skincare and providing follow-up/monitoring support. About the Role As a Machine Learning Engineer y ou’ll work alongside a team of machine learning researchers and engineers as well as our dermatological team. … our existing technologies, including computer vision models and recommendation systems. Key Responsibilities Define, evaluate and assess AI systems performance Develop and deploy production-quality machine learning frameworks, while maintaining robust MLOps pipelines Explore and implement state-of-the-art algorithms to keep our product on the cutting edge … Minimum Qualifications Bachelor's degree in a technical field such as computer science or years of equivalent experience Research or engineering experience in deep learning with one or more of the following: generative models, segmentation, object detection, classification, model optimisations Experience working with machine learning frameworks such more »

Xpertise is seeking two talented Machine Learning Engineers to join an esteemed team in Birmingham. As part of our client's growing engineering division, you will play a pivotal role in designing, implementing, and optimising machine learning models and data pipelines. With a strong emphasis on … Location: Birmingham; can be remote-based, hybrid working or office-based Key experience desired/what you will learn: Experience developing, deploying, and maintaining machine learning models in production environments. AWS cloud services, especially in building and managing data pipelines and machine learning workflows: S3, Redshift … with the latest data, AI and cloud technologies, then this one's for you. They have big plans to disrupt the industry with this machine learning work, so it's a great time to join. Interested? Please apply with your CV and/or message Billy Hall for more »

Xpertise is seeking two talented Machine Learning Engineers to join an esteemed team in Newcastle. As part of our client's growing engineering division, you will play a pivotal role in designing, implementing, and optimising machine learning models and data pipelines. With a strong emphasis on … or Birmingham; can be remote-based, hybrid working or office-based Key experience desired/what you will learn: Experience developing, deploying, and maintaining machine learning models in production environments. AWS cloud services, especially in building and managing data pipelines and machine learning workflows: S3, Redshift … with the latest data, AI and cloud technologies, then this one's for you. They have big plans to disrupt the industry with this machine learning work, so it's a great time to join. Interested? Please apply with your CV and/or message Billy Hall for more »

and Microsoft Turing. You will work as part of an organization that brings together talent in the areas of large language models, recommender systems, machine learning, deep learning, graph learning, information retrieval, software engineering, and responsible AI. We value and encourage diversity in the belief that … Statistics, or related areas. Candidates with master’s degree with industry experience or publication record in the areas of Large Language Models, Information Retrieval, Machine Learning, or Natural Language Processing are considered as well.Proficient years managing research or engineering teams in Machine Learning, Natural Language Processing … shipping applied research to productionExcellent problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms, especially at scaleStrong people leadership skills to influence others, with the ability to understand team dynamics, retain, attract, and develop team more »

Machine Learning Engineer This role is a unique opportunity to combine technical challenges with creativity in a collaborative, high-standard work environment. By joining this company, you'll not only be part of a creative and open work culture focused on innovation and excellence but also have the … of Machine Learning Engineer will include: Develop and deploy machine learning algorithms using Python, addressing complex sports analytics problems. Integrate ML systems into existing infrastructure, leveraging cloud services, Docker and Kubernetes. Maintain and improve ML models, employing frameworks like PyTorch and TensorFlow. Follow Agile methodologies, ensuring … include: A minimum of two years industry experience in machine and deep learning development. Familiarity with cloud computing, data pipelines, and distributed ML technologies. Strong programming skills in Python, and experience with ML frameworks. Knowledge in Agile methodologies, CI/CD tools (e.g., GitHub Actions, Jenkins). Please 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 models, assess … their 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 team and provide support more »

Machine Learning Infrastructure Engineer Perm London office 4 days per week Can offer sponsorship and relocation Up to £200K A 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. … 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 … and steering their evolving inference and training stack working with researchers, founders and advisors to develop the next generation of high availability LLM’s. ML engineering experience: Experienced in creating and managing high-performance computing clusters across GPU/TPU, preferably in PyTorch. Proficient in efficient serving of large machine more »

knowledge in the world. In fact, we're probably one of the largest already. Our platforms can be viewed here: www.beamazed.media We need a machine learning engineer to work in our growing, dynamic team. We are building internal products to help our team perform, execute and excel at … inform and shape our future content pipeline. We are looking for an entrepreneurial mindset to optimise our company’s internal and external performance using machine learning capabilities and tooling. This will span from building tooling for our teams’ workflows to predictive analytics on our vast amounts of video … job. You should aspire to lead and own a media company one day as this position holds massive future potential for growth. As a machine learning engineer, your role will involve: Exploring and analysing our data to identify trends and predictive models that will optimise our video’s more »

experienced Machine Learning Engineer to work an exciting project, utilising the latest technologies. You will work closely with data scientists to take ML models from research to production while upholding engineering best practices. Responsibilities: Experience working with Data Scientists to understand ML models and translate them into robust … scalable production code using Python and tools like TensorFlow. Build and maintain ML pipeline architecture for activities including data ingestion, model training/retraining, evaluation, and deployment. Leverage cloud platforms (GCP) to create ML workflow orchestration and integrate with production systems, Vertex AI. Monitor and maintain ML systems in production … implement improvements. Define software engineering standards for building, documenting, testing and deploying machine learning code. Stay up-to-date with advancements in ML ops and DevOps for machine learning systems. Requirements: 3+ years’ experience building and deploying machine learning systems. Expert in Python. Knowledge more »

Machine Learning Engineer As a Machine Learning Engineer, do you want to join an innovative AI R&D organisation developing cutting-edge AI solutions?Do you enjoy fine-tuning LLMs and deploying models to production as a Machine Learning Engineer?As a Machine Learning Engineer, your role will be key for Application Development. You'll be at the forefront of their delivery function implementing, fine-tuning and deploying Large Language Models (LLMs) and Transformer Models in the PropTech space.You'll report into the CTO and work closely with Analysts and Engineers … to take ownership over product delivery, if you have a product mindset and enjoy problem solving keep reading!Your role:Create, implement, and maintain ML Model pipelines.Fine-tune LLMs for optimal performance.Evaluate and fine-tune the performance of production models.Collaborate with the software development team to deploy models to production.We more »

Senior ML Engineer Engineer - £80-110k ***Python, C++, Machine Learning, LLM, HPC, GPU, CUDA*** Location: Hybrid/London Sector: AI Products & Solutions Please note - sponsorship is not available for this role. This is a leading AI product and solutions company who operate globally and work at the … and designing the systems for today as well as what the business needs over the next 6-12 months using cutting edge technology across ML & engineering. Your skills: You would have a mix of engineering and machine learning experience - across ML models and frameworks. You would have experience … in scaling ML models, with a focus on performance, speed and optimisation. You would have experience working on HPC, GPU's and/or CUDA kernels across distributed systems. Ideally you have experience across Python, C/C++. Please send your CV to find out more. I look forward to more »

Senior Machine Learning Engineer - RemoteAs a Senior Machine Learning Engineer do you want to work with a leading provider of customer engagement solutions?As a Senior Machine Learning Engineer you will have the opportunity to join a high-growth organisation providing customised software solutions … that accelerates and simplifies the journey of digital transformation.Your role:As a Senior Machine Learning Engineer, your role will be pivotal in designing, developing, testing, maintaining, and supporting software components using Python.You will be leading the development of AI projects taking ownership and driving innovation of development tasks.You … Proficiency in PythonStrong NLP experience - NumPy, Pandas etc.Commercial experience leveraging open-source models, finetuning LLMs & RAG pipelinesExpertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch etc.)MLOps experienceNice to have:Familiarity with Git or other Version Control SystemsComputer Vision Library exposureUnderstanding of Big Data Technologies (Hadoop, Spark more »

Senior Machine Learning Engineer – Remote As a Senior Machine Learning Engineer do you want to work with a leading provider of customer engagement solutions? As a Senior Machine Learning Engineer you will have the opportunity to join a high-growth organisation providing customised software … solutions that accelerates and simplifies the journey of digital transformation. Your role: As a Senior Machine Learning Engineer, your role will be pivotal in designing, developing, testing, maintaining, and supporting software components using Python. You will be leading the development of AI projects taking ownership and driving innovation … Strong NLP experience – NumPy, Pandas etc. Commercial experience leveraging open-source models, finetuning LLMs & RAG pipelines Expertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch etc.) MLOps experience Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big Data more »

solving 'under the bonnet knowhow of LLMs eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone etc. Youll be skilled in adapting and debugging ML systems across different environments, interested in all aspects of machine learning, such as parameter efficient adaptation of large language and vision models. With … ideas about productionizing ML systems, long context text summarization, production-grade ML systems etc. In short, you will have acquired special expertise in Transformers, be experienced with API wrappers like LangChain and Auto-GPT, have experience in evaluating LLMs and prompt engineering, semantic search, and embedding-based fine tuning of … Good knowledge of cloud computing environments is essential with a preference for AWS Knowledge in several of the following will be advantageous: AI/ML approaches to problems in the Life Sciences Engineering and data solutions to support bioinformatic workflow design and development, with a focus on ML/AI more »

Senior Machine Learning Engineer Currently looking for a Senior Machine Learning Engineer to join a leading, online UK fashion/retail brand on a contract basis! Incredibly comfortable working with Python. Work in cross-functional teams combining data science, data engineering, BI, machine learning … management. Implement and deploy machine learning models at scale. Understanding of NLP Experience with LLM (Large Language Models) Previous experience product-ionising ML models x2 Stage interview process. Rate :: £800/day (Outside) Length :: 6 Months Location :: UK (Must be based in the UK) Start Date :: ASAP more »

Senior Machine Learning Engineer £90,000 - £120,000 in Central London – 2 days a week FinTech La Fosse is currently working with a fast-growing FinTech business which has become an industry leader within the funding and embedded finance industry, who are looking for a talented Senior Machine … listed below: project management skills, with a proven track record of delivering projects on time and within scope. fundamentals in programming, statistics, mathematics, and ML algorithms (neural networks, tree-based methods, optimizers, super/unsupervised learning, feature engineering, etc.). Strong experience with Python required understanding of the ML …/DS frameworks (XGBoost, Scikit-learn, Pandas, Numpy, etc.), and modular/modern OOP software design practices with a modern ML/Data/Cloud engineering technical stack If you’re interested in this role and feel you fit some of the requirements, apply through the advert to find out more »

R&D data . You will become part of an interdisciplinary Bioinformatics team, working at the heart of research and development creating an active learning system, in which model predictions guide lab experiments, lab automation generates high-throughput data for model training , and predictive models are updated as new … field. What you'll do You will work closely with our R&D scientists in fields of software engineering , lab automation, computational modelling and machine learning , with access to biologics R&D data across AstraZeneca constantly generating new data to both build and inform predictive models . This … . Collaborate with web application developers to integrate the Genedata Biologics system with custom applications for experiment design and data analysis . Collaborate with machine learning colleagues to develop an active learning system that continually trains machine learning models on data from biologics experiments and more »

and analyse datasets to extract meaningful insights and features for model development. Design, implement and maintain industry-standard MLOps infrastructure for new and existing ML products Optimize and standardize ML training and validation processes, data warehousing and pipelines. Education: Master's or Ph.D. in Computer Science, Machine Learning … Data Science, or a related field. Professional Experience: The position will be tailored to the level of experience; practical industry experience deploying and maintaining ML systems in production would be viewed very positively. Technical Requirements: Required: Strong foundation in machine learning algorithms, statistics, and data structures within relevant … Experience deploying MLOps solutions and working within CI/CD frameworks Experience with Linux systems and cloud infrastructure (AWS, Azure, etc.) Experience developing embedded ML applications (C++, CUDA, TensorRT) Language Skills: Good level of English, spoken and written Personal Skills: Capability to integrate in and work within a trans-European more »