76 to 100 of 1,125 Machine Learning Jobs in the UK

innovation with us as we harness cutting-edge techniques and stay abreast of the latest Google updates. Role Description We're seeking a talented Machine Learning Specialist for a full-time remote position. As part of our team, you'll spearhead the development and implementation of machine learning algorithms aimed at dissecting website data and uncovering pivotal factors for optimizing search engine rankings. Your role will involve collaborating with diverse teams to gather and analyze data, construct predictive models, and fine-tune algorithms to elevate website performance. Dive into the realm of data preprocessing, feature … selection, model training, and performance assessment in your daily tasks. Qualifications Solid foundation in Computer Science, Machine Learning, and Statistics Proficiency in Deep Learning techniques and algorithmic methodologies Expertise in data preprocessing and feature selection methodologies Familiarity with optimization techniques for refining machine learning models more »

technology and data-driven solutions. They’re seeking a seasoned Senior MLOps Engineer to join our dynamic team and drive the evolution of our machine learning operations. As a Senior MLOps Engineer, you will play a critical role in designing, implementing, and optimizing the MLOps infrastructure to support … the deployment and management of machine learning models at scale. This is an exciting opportunity to lead MLOps initiatives that will shape the future of insurance technology. Responsibilities: Lead the design and implementation of MLOps infrastructure and processes to support the end-to-end lifecycle of … machine learning models. Develop automated pipelines for model training, testing, deployment, and monitoring. Establish best practices for versioning, reproducibility, and scalability in ML workflows. Collaborate with cross-functional teams to integrate ML models into production systems. Implement robust monitoring and alerting mechanisms to track model performance and health. more »

for an MLOps Engineer to join the team. This role is instrumental in enabling HL to harness the full potential of Artificial Intelligence and Machine Learning allowing us to drive significant value to our clients … as well as ensuring that our data scientists can rapidly develop, deploy, and manage models at scale with reliability and efficiency. By streamlining the ML lifecycle, from experimentation to production, you will facilitate seamless collaboration between data scientists, developers, and IT operations, fostering an environment of innovation and driving significant … a new product within HL where you'll have the opportunity to build the roadmap and take ownership of how we leverage AI/ML at HL. What you'll be doing You will be at the forefront of deploying cutting-edge machine learning models and providing comprehensive more »

We provide and develop the innovation initiatives across a large array of our audit clients. We do this through the implementation of robotics, AI, machine learning and advanced analytics tools, leveraging the best technologies currently on the market. The team works with audit clients and internal audit stakeholders … advise senior stakeholders on ways to automate and reimagine audits, implementing innovative technologies, such as Python, R, SQL, Alteryx, Power BI, Process Intelligence and Machine Learning. Building a strong understanding for the role data and analytics plays in the modern day audit. You’ll get to work on technical … assignments enabling you to develop skills in Advanced Analytics, Machine Learning, Data Engineering and sophisticated visualisation tools to provide clients with the PwC digital audit experience. This means that you’ll develop the technical, business and soft skills around the topic of data and analytics that our clients more »

Newly founded, AGITProp is an AI-driven quant research firm that is pushing the boundaries of algorithmic trading. Quant firms have leveraged AI and ML for years, but the increasing complexity and scale of global markets demand a more comprehensive and integrated approach. At AGITProp, we are leveraging the latest … from across tech and finance to help us achieve our aim. About the Role We seek an exceptional Senior AI Engineer with a strong machine learning and AI background to join our team. In addition to exceptional programming skills and knowledge of data structures and algorithms, the ideal … candidate should also be proficient in the mathematical underpinnings of deep learning and deeply understand modern AI techniques. As a Senior AI Engineer, you will be responsible for designing, developing, and implementing cutting-edge AI models. Responsibilities Work closely with the Director of AI research to design, develop, implement more »

the last Series C funding round in January 2023. Your Team You will join a growing team of computer science and robotics experts leveraging machine learning, data and cloud infrastructure to build and deploy powerful on-vehicle reasoning capabilities. Your work will enable … Oxa Driver™ to plan and execute sophisticated, safe driving behaviours scalably across all of our customer domains. Your Role As our Senior Engineer (Reasoning ML), you will take a leading role within your team to research, develop and deploy machine learning models enabling new behavioural capabilities and improvements … product quality, customer experience, and maintainability. You Will Take a leading role within your team to research, develop and deploy state of the art machine learning models and architectures in support of behaviour planning and decision making for autonomous vehicles. Create and curate datasets for training and validation more »

scratch and create a powerful analytics engine fueled by cutting-edge technology and generative AI. You will be responsible for building, validating, and deploying machine learning models that drive our product's analytics engine. Operating in an Agile setting, you will be part of a cross functional team … Software Engineers, Product Owners and UX/UI Designers, to innovate and drive our product to new heights. Core Responsibilities: Build and deploy advanced machine learning models & design robust analytics engines for high-end digital products Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into … address objectives to business partners (both technical and non-technical audiences) Stay up-to-date with latest industry trends and advances in data science, machine learning and generative AI Actively contribute to a culture of transparency, learning, and innovation, promoting an open mindset across the organization Advocate more »

Graduate Machine Learning Engineer – Machine Learning Engineer - IOT ML A 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 skills A strong salary and the opportunity to work alongside more »

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 »

as a central hub with a firm-wide remit to seek strategic business challenges for the firm by bringing to bear our expertise in machine learning, artificial intelligence, data science and optimization. Our mission is to combine human and machine intelligence to redefine asset management. We are … in the form of alpha generation, operational efficiencies, and cost reduction. Building on the success of detailed investment teams with a history of demonstrating machine learning at BlackRock to build alpha, the goal was to apply these same techniques throughout the business. Job Description As a researcher, you … develop methodologies for products solving a corporate-wide set of client, investor, and operational problems. Products developed often use multiple subject areas, including statistics, machine learning, and optimization, and combine original methods with pioneering solutions available in industry and academia. You will be responsible for the entire research 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 »

Lead Machine Learning Engineer - ClimateTech start-up 🌍 I'm looking for a ML Engineer with experience building software products and leading a small team for a very promising ClimateTech start-up. 💵 Salary: as the company are so early stage they are flexible but approx. £100k + equity. Please … very positive signs of success 🎉 The team currently consists of the two founders, a software engineering consultant, a mid-level Ruby Engineer and an ML research scientist. You'll join as the Lead Machine Learning Engineer with scope to become the CTO if this is a route you … if not, that's ok too!) 📈 Here's what you need: A senior level of experience as a full-stack software engineer with strong ML skills or an ML Engineer with software engineering skills An ability to drive much of the overall architecture work Be involved in data engineering work 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 »

as fertility, pregnancy and menopause. This is a fully remote position and the salary is between 50-75k. They are looking for a Machine Learning engineer who can lead the company’s AI R&D to leverage cutting edge research and incorporate emerging technologies into their NLP … and conversational AI solutions Essential skills 4+ years of industry experience in developing Machine Learning models and maintaining them in a production environment Solid understanding of Machine learning concepts and algorithms, including supervised and unsupervised learning, deep learning and reinforcement learning. Experience with NLP … attention mechanism, transformer technologies etc.) Experience in deploying NLP pipelines to production Python experience including data science libraries (scikit-learn, pandas, NumPy) and deep learning frameworks (Tensorflow, Pytorch) Desirable Experience with virtual agent platforms such as IBM Watson or DialogFlow Team leading experience Proven experience in CI environments, unit 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 »

Principal Machine Learning Engineer This client uses data science and machine learning to deliver the best personalised experience to it's customers. They set up their tech hub in Belfast 3 years ago and have already grown to a team of over 60, with no signs … where you'll join a fantastic team of technologists. About you: 5+ years experience in software engineering or data science with a focus on machine learning Experience in the … python library - Pytorch, Pandas, Numpy, Tensorflow, Scikit-learn Experienced working in a microservice-based architecture# Experience working with Docker or Kubernetes Strong interest in ML and keeping up to date with the latest ML technologies What you'll get in return: Salary range from £70,000 - £90,000 plus up more »

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

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

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 »