126 to 150 of 1,110 Machine Learning Jobs in the UK

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 »

Machine Learning Engineer (optimization) – Startup LLM – up to £200k +equity – London Do you have experience with optimization and quantization for ML models on HPC clusters? Are you passionate about building groundbreaking technology and shaping the future of AI? Are you excited by the thought of starting a company … in early 2025! We’re looking for an experienced Machine Learning Engineer that has implemented SOTA Research and quantization techniques to optimize ML pipelines to enable people to ship their models faster and more efficiently. About you You’ll have experience applying quantization techniques, pruning, distributed training and … optimizing ML pipelines for training and deploying on GPU, managed HPC clusters, implemented inference servers. You’ll be able to define memory footprint, reduce memory consumption and improve data loading for ML Pipelines. Here are some of things we’d expect you to have: Experience in ML quantization, PEFT, DeepSpeed 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 »

global product and engineering teams across the globe. The Intelligent Systems team is at the forefront of driving innovation through cutting-edge data science, machine learning, and generative AI technologies. As a crucial part of our organization, this team is poised for substantial growth in the coming year … software development life cycle. Automating quality assurance processes and cloud resource allocation in software development. Requirements PhD or advanced Masters in Statistics, Computer Science, Machine Learning & AI, Mathematics, or Physics. Hands-on experience in at least three of the following areas: Generative AI, Supervised and Unsupervised Learning … tailored solutions to non-standard machine learning problems. Track record of industry recognition which could be in the form of high impact ML/AI conference contributions, contribution to high impact open source projects or performance in open source competitions such as Kaggle Benefits Attractive quarterly OKR bonus more »

to join their well established Data Science function acting as a Senior Machine Learning Engineer – this will mean that you focus on ML infrastructure and deployment methods. They’re an AWS house, so massive bonus points for experience in that kind of environment – particularly serverless/Lambda. Responsibilities … into initial model design & development Help train and mentor others when it comes to best practice around engineering & model deployment methods Ensure that all ML-based infrastructure is in the best possible state. Requirements Commercial experience working as an ML Engineer model deployment) or MLOps/Data Science Engineer role. … End to end "full stack" ML experience in AWS Strong Python coding skills CI/CD experience Ideally some Time Series experience Any LLMs experience in a commercial environment is a bonus If this role interests you and you would like to find out more, please apply here or contact more »

Learning Researcher (London – visit the office 3 days a week) Xcede are delighted to be working with one of the most important ML Research Labs in the UK. The innovation hub sits within one of the world’s largest tech & manufacturing brands The team are working on prototypes … in a relevant field (Statistics, Computer Science, etc.) – PhD background strongly preferred (alongside further post-doc research) Excellent knowledge in a range of statistical, machine learning, and deep learning-based methodologies (classification, regression, etc. through to RNNs, signal processing, etc.) Ability to communicate complicated and often hugely more »

MACHINE LEARNING ENGINEER REMOTE £70,000 - £90,000 COMPANY: We have partnered with an AI based startup, who are focused on developing the latest AI and LLM solutions for businesses withing the property and real estate industry. They are looking for an experienced Machine Learning Engineer … as well as work closely with their clients. ROLE: You will be involved in implementing and fine tuning LLM's Designing, implementing and maintaining ML pipelines Define infrastructure requirements and architecture for Model Training and Inference Measure and review the performance of production models - Regularly conducting evaluation and tuning Collaborate more »

is a global luxury retailer looking for an MLOps Engineer to join their strong AI department, where you will help build and maintain the ML infrastructure as well as supporting the deployment and productionisation of machine learning models. The AI department is a cross functional team who work … a range of projects including NLP, Recommendation, Forecasting and LLMs Responsibilities: Create and manage the machine learning infrastructure Streamline the process of ML experiments into production Build and implement scalable tools and services Continuously explore new technologies to enhance performance, maintainability, and reliability of the ML systems. Apply … across the business What you need to succeed: Strong background as a MLOps Engineer, Platform Engineer or Devops Engineer Must have experience working on ML infrastructure using Docker and Kubernetes Minimum of 3 to 5 years experience Extensive experience with Python Familiarly with Terraform, Databricks and Azure Ability to implement more »

Founding Machine Learning Engineer - Fine Tuning Expertise required. USP's: An opportunity to be an integral Founding member of a future AI Unicorn Exceptional leadership in place Exceptional talent across the team, working with the brightest minds in AI, who have worked for the biggest names, who work … automated fine-tuning framework that can scale to the next order of magnitude of training runs. Experience in creating/managing HPC clusters for ML models and efficiently serving large ML models at scale is a huge bonus. Required Credentials: Master's degree as a minimum, ideally a PhD Released … a l eading AI research laboratory, or a pioneering AI business Key Requirements: Fine Tuning Expert 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 more »

AI/Machine Learning Engineer – 6 months - £600 p/d (Outside IR35) AI/Machine Learning (ML) Engineer, with strong chunking and indexing algorithm experience, required by a leading ecommerce company to set the direction for LLMs. The right candidate will have strong commercial experience … of improving LLM performance whilst being an expert in the utilisation of vast amounts of data. Key requirements Strong experience as an AI/ML Engineer Excellent commercial experience with LLM’s particularly Chat GPT and Llama Experience with data chunking and indexing for AI pipeline. Python skills Relevant degree … or post-graduate degree in AI, ML or related field Duration: Initial 6-month Rate: £600 p/d (Outside IR35) Location: London (hybrid more »

Data Engineer (Machine Learning) London - Hybrid Working Circa £40,000 - £50,000 We operate a hybrid working model and office attendance is required 40% of your contracted hours Our client has an opportunity for a talented engineer to join their growing Data Science team and work on our … protect people where theyfind problems. In this role you will help to develop and maintain the tools we use to capture, process, and apply machine learning algorithms to large datasets of ads. You will be part of a small agile team and will have the opportunity to own … stakeholders. They have a culture thats open, friendly and collaborative, with a real focus on making the right decisions in the right way and learning while were doing it. They welcome applications from all sections of the community, and theyre committed to being a diverse and inclusive organisation, both more »

Founding Machine Learning Engineer with expertise in LLM Founding MLE required for a AI safety and research company. USP's: An opportunity to be an integral Founding member of a future AI Unicorn Exceptional leadership in place Exceptional talent across the team, working with the brightest minds in … 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, technical success, overall growth, and mainly the culture of a future AI Unicorn … Key Requirements: Python and PyTorch expertise Experience in SLURM, Ray, or similar Graphics Processing Units (GPUs) 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 more »

Principal AI Engineer, ML, NLP, Large Language Models, Biotech West London - office based 4 days per week Highly competitive salary + BUPA + high Bonus Were looking for an MSc/PhD level Principal AI Engineer/AI Scientist. An Artificial Intelligence/Machine Learning expert to contribute … 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 more »

Use models like regression and propensity models, time-series, ensemble methods and neural networks Seek out opportunities to make an impact using the latest ML methods (NLP and Gen AI) Be the go-to authority for data products and advanced ML solutions Translate complex data models to actionable insights End … to-end machine learning product development, from data wrangling to model tuning and deployment Provide insightful storytelling to stakeholders through compelling dashboards and visualisations Lead and oversee intricate data projects Coach and mentor more junior data scientists, fostering a collaborative, innovative, peer-review culture within the team Requirements … Minimum 4 years’ hands-on experience as a Data Scientist BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks more »

cutting-edge software and AI solutions. Their mission is to revolutionize industries through advanced technology, utilizing a combination of Java, Kotlin, React, JavaScript, MongoDB, Machine Learning, and Azure cloud services. They are dedicated to pushing the boundaries of what's possible and delivering impactful solutions to their clients. … technical specifications and solutions. Design and develop robust, scalable, and efficient software applications using Java, Kotlin, React, JavaScript, MongoDB, and other relevant technologies. Implement machine learning algorithms and integrate AI capabilities into software solutions to enhance performance and functionality. Work closely with DevOps teams to ensure smooth deployment … development, with a strong proficiency in Java, Kotlin, React, JavaScript, and MongoDB. Solid understanding of machine learning concepts and experience in applying ML algorithms to real-world problems. Hands-on experience with cloud platforms, preferably Azure, and expertise in deploying and managing applications on cloud infrastructure. Strong problem more »

Data Science team already in place who focus on recommendation systems and customer personalisation, the company now want to hire an MLOps Engineer/ML Engineer to focus on machine learning infrastructure and deployment tech. As the first person focusing solely on this skillset in the near future … we’ll need a capable and experienced engineer who is happy making independent technical decisions. Responsibilities Deploy, optimise and maintain the machine learning models at the core of the company’s product offering. Focus on creating state of the art … recommendation system and graph network technology that is scalable and stable. Build APIs for the product. Drive smart and necessary DevOps decision within the ML function – MLOps. Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Significant commercial experience deploying and maintaining (MLOps) Machine Learning more »

Do you have a passion for data science, machine learning, and earth observation (EO)? Are you an expert in building robust and secure platforms for collaboration? Our Client (a world leader in environmental science) is seeking a skilled contractor to develop innovative platforms and infrastructure. These platforms will … support research, development, and learning initiatives in data science, machine learning, and EO. The Opportunity: In this role, you'll play a pivotal role in: Understanding user needs: You'll collaborate with stakeholders to gather requirements for platforms and infrastructure that support data science projects and hackathons. … with designing, building, and testing system interfaces. Technical know-how: Demonstrated awareness of relevant subject matter and a high-level understanding of data science, machine learning, and EO. Design thinking: The ability to translate business problems into effective technical designs. Communication skills: Excellent communication skills to bridge the more »

key part of your role. What are the day-to-day tasks? Design and develop AI models and solutions using Azure Open AI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements … scientists, and IT teams to integrate AI solutions into existing systems and workflows, enhancing their capabilities and impact. Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings. Provide expertise and guidance on AI best practices, contributing … with a deep understanding of software development principles. Extensive experience with Azure AI solutions, including Azure Open AI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Solid background in machine learning algorithms, data pre-processing, feature engineering, and model evaluation. more »

as this position holds massive future potential for growth. Your role will involve: Developing our web application written in Javascript and NextJS; Implementing backend machine learning and data services, and integrating them with our web application. Suggesting and leading internal tools for our team to use that will … web applications Quantitative degree from a top university The following is DESIRABLE, not essential: Experience with Node.JS to a production level Familiarity with various machine learning APIs An understanding of machine learning techniques Benefits: Making a serious impact from day one. We're an agile company more »