101 to 125 of 1,364 Machine Learning Jobs in the UK

Machine Learning Engineer - London (hybrid) - £90-125,000 + bonus numi is collaborating with a leading force in global analytics, reporting, and intelligence to recruit a Machine Learning Engineer! You'll be an integral part of a new team driving multiple greenfield projects. These initiatives encompass … for personalised experiences, and fostering AI adoption across the organization to enhance efficiency, among others. We're seeking an individual who can leverage their machine learning expertise to contribute not only to technical aspects but also to cultivate a thriving team culture. As a senior engineer, you'll … play a pivotal role in upholding high standards and best practices across the team and organisation. Key Requirements: 5+ years of experience in machine learning Prior experience in developing generative models Passion for tackling complex, transformative projects Proficiency in AWS, Python, PyTorch, TensorFlow, and Git Strong communication skills more »

Senior Machine Learning Engineer London office 1-2 days per week Up 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 through applied … Machine Learning. Collaborate with a strong team of Scientists/Engineers to deliver innovative and impactful work. YOUR SKILLS & EXPERIENCE A successful NLP Engineer/LLMs Engineer will have the following: Min. 4 years commercial experience in Natural Language Processing/NLP & ML. Strong coding skills in Python. Strong more »

Senior Machine Learning Engineer London office 1-2 days per week Up 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 through applied … Machine Learning. Collaborate with a strong team of Scientists/Engineers to deliver innovative and impactful work. YOUR SKILLS & EXPERIENCE A successful NLP Engineer/LLMs Engineer will have the following: Min. 4 years commercial experience in Natural Language Processing/NLP & ML. Strong coding skills in Python. Strong more »

Senior Machine Learning Engineer | Inside IR35 Contract | Marketing As a Senior Machine Learning Engineer, are you ready to redefine the future of marketing through the power of data and technology? As a Senior Machine Learning Engineer, you'll deploy and productionise predictive models aimed … in the creation of the best-in-class models, measurement and reporting We’d love to see: Strong proficiency with Python and SQL Extensive Machine Learning experience: recommendation, forecasting, predictive performance analysis & optimisation Experience with Snowflake, DataIQ or Databricks AWS experience – Redshift & Fast API NLP & Computer Vision experience more »

Senior Machine Learning Engineer | Agency | £550 Inside IR35 | Initial 3 Months We are seeking a Senior MLE to jump straight in and work with clients to understand their objectives and harness the power of data and technology for organisational success. What's will you be doing: Deploying machine learning models to analyse marketing campaign performance, customer segmentation, and behavior prediction Collaborating with cross-functional teams to integrate machine learning solutions into marketing platforms, ensuring seamless implementation and functionality What we'd love to see: Strong working Python and SQL proficiency Extensive Machine Learning more »

Senior Machine Learning Engineer | Agency | £550 Inside IR35 | Initial 3 Months We are seeking a Senior MLE to jump straight in and work with clients to understand their objectives and harness the power of data and technology for organisational success. What's will you be doing: Deploying machine learning models to analyse marketing campaign performance, customer segmentation, and behavior prediction Collaborating with cross-functional teams to integrate machine learning solutions into marketing platforms, ensuring seamless implementation and functionality What we'd love to see: Strong working Python and SQL proficiency Extensive Machine Learning more »

Senior Machine Learning Engineer This company came into Belfast in 2020, and since then has built a reputation as a fantastic employer with no glass ceiling – their engineers soar. Since growing to a software engineering team of over 50, they are now creating a brand new Data Engineering … great opportunity to be part of a start up team, within the security of a very successful organization. They are looking for a Senior Machine Learning Engineer to join – this is a key role in this new team. You’ll build next gen platforms to serve innovative data … maintain. You’ll ideally have the following skills and experience: 5+ years experience in an engineering/data science environment with a focus on machine learning Experience supporting cloud platforms – AWS preferred IaC and container orchestration environments – Kubernetes preferred Experience working with Machine Learning technologies and more »

Remote Salary Negotiable Key Skills: Python, NLP experience and deploying NLP systems The Senior NLP Engineer is responsible for developing AI Labs’ NLP/machine learning platform. In this role, they will write, test, and release code and internal libraries according to the NLP roadmap and release plans. … They will work collaboratively with the Head of Machine Learning Product, application engineering, data science and NLP Tech Lead to set the overall vision, goals, and execution plan. They will also be consulted by customer-facing project leads and data science in the analysis of customer data and … development of NLP models to address clinical or business use cases. Skills Machine Learning, Natural Language Processing (NLP), Deep Learning, building and deploying NLP systems Strong CS fundamentals including data structures, algorithms, and distributed systems Proficiency in statistical NLP algorithms, including transformers, graphical models, and information retrieval more »

Infrastructure Engineer - ML & GPGPU Deployment Within this position you will be joining a Leading AI Innovation Team as an Infrastructure Engineer improving their generative AI products with automated testing and evaluation. We are working with a London-based start-up dedicated to engineering cutting-edge AI systems poised to revolutionize … industries worldwide. As a Machine Learning Infrastructure Engineer, you will play a crucial role in developing a robust framework for rapid training and experimentation of large language models. Your responsibilities will include architecting an internal platform to facilitate high-throughput inference of these models. You will develop the … support. Candidates should possess a minimum of 2-3 years of professional experience in a similar capacity. Qualifications: We are seeking candidates with exceptional ML engineering evidenced by: Experience in creating and managing high-performance computing clusters across GPU/TPU, preferably in PyTorch. Proficiency in efficient serving of large more »

Infrastructure Engineer - ML & GPGPU Deployment Within this position you will be joining a Leading AI Innovation Team as an Infrastructure Engineer improving their generative AI products with automated testing and evaluation. We are working with a London-based start-up dedicated to engineering cutting-edge AI systems poised to revolutionize … industries worldwide. As a Machine Learning Infrastructure Engineer, you will play a crucial role in developing a robust framework for rapid training and experimentation of large language models. Your responsibilities will include architecting an internal platform to facilitate high-throughput inference of these models. You will develop the … support. Candidates should possess a minimum of 2-3 years of professional experience in a similar capacity. Qualifications: We are seeking candidates with exceptional ML engineering evidenced by: Experience in creating and managing high-performance computing clusters across GPU/TPU, preferably in PyTorch. Proficiency in efficient serving of large 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 »

InstaDeep is looking for a Research Scientist to join our team working at the intersection of machine learning (ML) and cryo-electron microscopy and tomography (Cryo-EM/ET). The determination and study of 3D molecular structures can offer fundamental insights into the mechanisms that govern most … and ET are powerful tools for determining high-resolution structures of biomolecules in near native state. As these imaging techniques generate significant raw data, machine learning has great potential to accelerate and improve many stages of the processing pipeline; from particle picking and annotation, to reconstruction of 3D … and their API technologies; Molecular dynamics; Structural biology Demonstrated ability to contribute to novel research efforts; such as publications at leading life science or ML venues. About us: InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including 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 »

Data Scientist, you will lead the development of geospatial solutions to solve complex problems across business functions, leveraging your expertise in geospatial data analysis, machine learning and statistical modelling You will contribute to the development of insurance products & services. Your focus: Lead the design, development, and implementation of … geospatial machine learning models to extract insight from large geospatial datasets. Collaborate with cross functional teams to understand business requirements and translate them into technical solutions. Conduct exploratory analysis and feature engineering to extract relevant information from geospatial datasets. Develop predictive machine learning models, evaluate model … and implementation of scalable data processing pipelines for geospatial data ingestion, processing & storage. Stay up to date with the latest advancements in geospatial analytics, machine learning & data science techniques, and incorporate them into existing workflows. Mentor & provide guidance to less experienced team members, developing a collaborative environment. Communicate more »

Data Scientist, you will lead the development of geospatial solutions to solve complex problems across business functions, leveraging your expertise in geospatial data analysis, machine learning and statistical modelling You will contribute to the development of insurance products & services. Your focus: Lead the design, development, and implementation of … geospatial machine learning models to extract insight from large geospatial datasets. Collaborate with cross functional teams to understand business requirements and translate them into technical solutions. Conduct exploratory analysis and feature engineering to extract relevant information from geospatial datasets. Develop predictive machine learning models, evaluate model … and implementation of scalable data processing pipelines for geospatial data ingestion, processing & storage. Stay up to date with the latest advancements in geospatial analytics, machine learning & data science techniques, and incorporate them into existing workflows. Mentor & provide guidance to less experienced team members, developing a collaborative environment. Communicate more »

Data Scientist, you will lead the development of geospatial solutions to solve complex problems across business functions, leveraging your expertise in geospatial data analysis, machine learning and statistical modelling You will contribute to the development of insurance products & services. Your focus: Lead the design, development, and implementation of … geospatial machine learning models to extract insight from large geospatial datasets. Collaborate with cross functional teams to understand business requirements and translate them into technical solutions. Conduct exploratory analysis and feature engineering to extract relevant information from geospatial datasets. Develop predictive machine learning models, evaluate model … and implementation of scalable data processing pipelines for geospatial data ingestion, processing & storage. Stay up to date with the latest advancements in geospatial analytics, machine learning & data science techniques, and incorporate them into existing workflows. Mentor & provide guidance to less experienced team members, developing a collaborative environment. Communicate more »

Our esteemed client, a leading hedge fund on a global scale, is currently in search of a Software Engineer with a specialisation in Machine Learning Infrastructure for their London office. This offers an enticing opportunity to work with cutting-edge technologies, focusing on the design and development of … frameworks for machine learning and tools for data science. This position is ideal for an engineer with a background in deploying machine learning models into real-world applications, rather than concentrating solely on model training. This role necessitates substantial proficiency in Kubernetes along with a strong … using Python for production use. Key Requirements: Demonstrated experience of at least 5 years as a Software Engineer, with a track record of deploying ML models into production. Bachelor's degree in Computer Science or a related field. Proficient in core technologies, particularly Kubernetes. Experience working with distributed systems. more »

Our esteemed client, a leading hedge fund on a global scale, is currently in search of a Software Engineer with a specialisation in Machine Learning Infrastructure for their London office. This offers an enticing opportunity to work with cutting-edge technologies, focusing on the design and development of … frameworks for machine learning and tools for data science. This position is ideal for an engineer with a background in deploying machine learning models into real-world applications, rather than concentrating solely on model training. This role necessitates substantial proficiency in Kubernetes along with a strong … using Python for production use. Key Requirements: Demonstrated experience of at least 5 years as a Software Engineer, with a track record of deploying ML models into production. Bachelor's degree in Computer Science or a related field. Proficient in core technologies, particularly Kubernetes. Experience working with distributed systems. 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 »

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 »

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 »

role offers career progression, training, and opportunities to pivot in a highly specialized field. This company is a leading specialist in developing bespoke software machine learning solutions for businesses within the engineering sector. In this role, you will be part of a specialist development team, contributing to the … development of bespoke machine learning products predominantly using C++. You will work as part of the team to code, debug, and assist across product development requirements. The role is based in the Leicester area and operates on a hybrid basis, requiring 3-4 days in the office. The … candidate will have experience utilizing C++ in a commercial environment. The right candidate should also be interested in the field of Artificial Intelligence and Machine Learning, have the ability to quickly grasp complex systems and relevant concepts, and possess strong verbal and written communication skills. This is a more »

provide advanced analytic data modelling systems Designing and launching innovative and complex analytical models, utilising a blend of state-of-the-art and traditional machine learning techniques, which is applied to both structured and unstructured data setsKey Actions Play a leading role in the development and design of … support junior data science team members and oversee all activities ensuring alignment with departmental and business-wide vision and strategies Scope, design, and implement machine learning models to support the numerous initiatives of the business and demonstrate the impact to the bottom line of the business Manage live … data engineering teams, in creating data science applications through the utilisation of structured and unstructured data, designing optimal data architecture, and experimenting on new machine learning techniques Draft regular reports for senior management on departmental performance and present recommended models and departmental strategies for approval Maintain a deep more »